Alternatives to Synapsica

Vitrea software serves as a versatile and vendor-neutral advanced visualization platform that delivers a wide range of applications across various IT settings, whether in single-site or multi-site configurations. With Vitrea Advanced Visualization, organizations can achieve standardization and streamline their radiology IT landscape effectively. The use of Global Illumination, a sophisticated 3D rendering method, enhances the photorealism of anatomical images. This allows users to capture and disseminate these visualizations for educational and communication purposes. Moreover, advanced imaging features, including in-suite 3D visualization and semi-automated measurement tools, empower healthcare providers to access patient data conveniently from any location. Furthermore, radiologists have the capability to share imaging results seamlessly throughout their entire organization. This interconnected approach not only improves collaboration but also enhances the overall quality of patient care.

ProtonPACS, a picture archiving solution, manages image storage, distribution, and optimizes workflow throughout the organization. It offers front and back-end patient management solutions that reduce manual and/or duplicate patient information entry. Integration of HL7 to information systems (EHRs, RISes, etc.) The platform includes this feature. ProtonPACS includes Intelerad's Inteleviewer. This diagnostic viewer gives radiologists and other healthcare professionals the tools to optimize images and change layouts, measure critical points, perform image reconstructions, and create key images. Radiologists can use the integrated speech recognition engine and worklist to create reports for referring doctors. Both reports and images are accessible via any web-enabled device from the system's portal. ProtonPACS uses a secure hybrid model that combines on-premise hardware and cloud hosting.

Fovia Ai's F.A.S.T. aiCockpit serves as an AI viewer that enhances navigation, visualization, and interaction with AI-generated results from various vendors and algorithms through a unified user experience that minimizes the number of clicks needed. This platform facilitates the visualization and interaction of all algorithm outcomes within a single, user-friendly interface, significantly improving the workflow for radiologists and clinical professionals. By providing physician-validated insights to AI orchestrators, PACS, and reporting systems, it adheres to the most up-to-date interoperability standards. The system is compatible with multiple AI formats, such as DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Furthermore, F.A.S.T. aiCockpit boasts a cloud-ready architecture, enabling access to AI-assisted radiology results from anywhere at any time via any web-enabled browser. With just one straightforward integration, users can seamlessly complete their AI capabilities without the need to switch between various viewers, thus streamlining their overall workflow even further. This innovative approach not only enhances efficiency but also empowers healthcare professionals to make more informed decisions quickly.

WRDensity supports radiologists in evaluating breast density, promoting consistency in density assessments across their practices. Its primary aim is to facilitate early detection while ensuring patients feel reassured through enhanced consistency, confidence, and overall quality of care. Developed using advanced deep learning techniques, WRDensity analyzed over 600,000 images sourced from the esteemed Mallinckrodt Institute of Radiology, known for its pioneering work in the field. This robust deep learning model excels in providing precise classifications of breast density. Additionally, the batching and sorting features can boost user productivity by as much as 20%. By integrating WRDensity into the radiologist's existing workstation, critical information regarding tissue density is readily accessible in a relevant context, further enhancing the diagnostic process. Ultimately, this innovation not only streamlines the workflow but also contributes to improved patient outcomes.

Solventum Fluency for Imaging is an innovative AI-driven solution designed for radiology reporting that seamlessly integrates advanced speech recognition capabilities with immediate clinical insights, efficient workflow management, and tools aimed at boosting productivity to enhance quality, compliance, efficiency, and cost-effectiveness. This software maintains existing workflows while transforming dictations into precise, high-quality documents that are well-structured, clinically encoded, easily searchable, and readily shareable. It employs natural language understanding to accurately interpret the context of radiologists' dictations and includes built-in computer-assisted physician documentation, offering automated and interactive clinical insights directly within the reporting process. Additionally, the solution features customizable templates, personalized macros, and workflow enhancements such as actionable findings management and peer reviews, all aimed at ensuring thorough capture, documentation, and communication of patient outcomes. By integrating these functionalities, Solventum Fluency for Imaging significantly improves the overall efficiency of the radiology reporting process.

Created by radiologists for their peers, our initiative harnesses AI technology to help radiologists save time, alleviate burnout, and enhance the quality of patient care. Rad AI Continuity ensures that follow-up recommendations for important incidental findings in radiology reports are effectively addressed, leading to better patient outcomes, minimizing health system risks, and generating new financial benefits. With up to 35% reduction in dictated words and over an hour saved during each shift, our solutions significantly boost operational efficiency while also capturing previously overlooked revenue. Established by a skilled team with extensive knowledge in healthcare and artificial intelligence, our venture is supported by prominent investors and has gained the trust of leading radiology groups across the country. This commitment to innovation helps reshape the future of radiology, ultimately benefiting both practitioners and patients alike.

MiNNOVAA is a company specializing in medical information technology, particularly in the realms of medical imaging software and the exchange of medical images. With the guiding principle of "medical imaging innovation," we stand out for our nimbleness and the state-of-the-art technology we utilize in crafting our solutions. Our main areas of concentration are the development of medical image viewers, enhancement of radiology workflows, and the incorporation of artificial intelligence in diagnostic reporting. Our energetic team comprises around 20 skilled programmers and product managers, alongside professionals in marketing, sales, technical support, call center operations, and administration, all dedicated to driving a meaningful transformation in the field of medical imaging and enhancing individual healthcare experiences. We offer a comprehensive clinical imaging IT solution tailored for mid-sized hospitals and imaging clinics, featuring a wide array of functionalities such as on-premise core PACS software, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and an efficient workflow engine/RIS. Ultimately, our commitment to innovation and comprehensive solutions aims to redefine how medical imaging is approached and utilized within healthcare settings.

Healthcare professionals, including doctors and radiologists, can access images through an online DICOM viewer, ensuring they receive the precise image quality necessary for accurate diagnoses. This platform allows radiologists, surgeons, doctors, and patients to effortlessly share studies without the need for film printing. Featuring an intuitive and user-friendly interface, it provides essential image-viewing tools such as zoom, rotation, annotation, and panning. Users can also compare multiple image sets with various 2D, sagittal, and coronal views to enhance analysis. Regular upgrades and improvements to the viewer are available at no additional cost, which significantly improves patient care and boosts productivity by utilizing customized report templates that incorporate annotated images. The BeWell Digital system offers a seamless and interconnected radiology experience that is straightforward to navigate. Additionally, it significantly lightens the workload for technicians, reducing it by more than 30% by streamlining integration between different systems. By enhancing collaboration and efficiency, it ultimately supports better healthcare outcomes.

A versatile and vendor-neutral rules engine for medical imaging workflows is designed for radiologists aiming to unify interpretation and quality control tasks within both single and multi-system settings, thereby enhancing visibility and fostering communication. This solution aligns the demand for services with the available supply by automatically escalating and assigning cases to the most suitable and readily available physicians. By utilizing a comprehensive and intelligent worklist that consolidates interpretation and quality tasks, it promotes collaboration throughout the organization. Performance is enhanced through the implementation of best practice workflows, which lead to quicker turnaround times and a decreased length of patient stay. Additionally, the system prioritizes exams flagged by AI for abnormalities, ensuring that urgent studies are handled more swiftly through advanced artificial intelligence algorithms. The quality of assessments is further improved by integrating both custom and standardized workflows for various reviews, including anonymous peer reviews, technologist evaluations, communication between Emergency Departments and Radiology, and the review of mammography images, among others. Overall, this innovative approach not only streamlines processes but also elevates the standard of care provided to patients.

Qure.ai's qLC-Suite is a cutting-edge AI-driven tool aimed at improving the early identification and management of lung nodules, which is crucial for prompt lung cancer intervention. This solution delivers accurate measurements, thorough characterization, and 3D imaging of lung nodules, ensuring that opportunities for early treatment are not overlooked. It is capable of supporting both incidental and targeted screenings by efficiently identifying nodules and calculating their volume with just one click. Moreover, the system monitors volumetric changes over time, providing valuable insights into nodule development. The qLC-Suite is designed to integrate smoothly into current workflows, offering quick analysis and reporting that assist healthcare professionals in their decision-making processes. In addition to its analytical capabilities, it serves as a comprehensive platform for managing lung nodules, facilitating care coordination through intelligent prompts, providing hardware-agnostic image viewing for AI-enhanced chest X-rays and CT scans, enabling seamless sharing of scans across departments, and allowing for tailored notifications for cases of concern. Overall, qLC-Suite represents a significant advancement in lung cancer care, promoting timely interventions that can ultimately save lives.

HeartFlow offers a groundbreaking, non-invasive cardiac test that delivers detailed visualizations of individual coronary arteries, allowing doctors to develop more tailored treatment strategies for their patients. The process begins when a patient has a standard coronary computed tomography scan performed at a medical facility. Following this scan, the CT images are securely sent to our cloud-based system. Utilizing cutting-edge algorithms powered by artificial intelligence, we create a customized digital representation of the patient's coronary arteries. Our skilled analysts then review this model, making necessary adjustments to ensure accuracy. After finalizing the patient-specific model, the HeartFlow pathway employs physiological principles and computational fluid dynamics to analyze blood flow and compute FFRCT values throughout the model. We adhere to strict and well-established protocols throughout this entire process, ensuring uniform processing for every individual patient, which ultimately enhances the quality of care provided. This innovative approach not only improves diagnostic precision but also empowers healthcare providers to make informed decisions for optimal patient outcomes.

CARPL.ai serves as a vendor-agnostic artificial intelligence platform designed to empower radiologists in accessing, evaluating, and incorporating a wide range of radiology AI solutions into their everyday clinical workflows. This innovative platform boasts an extensive collection of over 140 AI applications from more than 60 different vendors, thereby aiding in the discovery, exploration, validation, and implementation of various AI tools. By providing a unified technical integration along with a user-friendly interface, CARPL.ai simplifies the process of adopting multiple AI systems effectively. The platform is versatile, accommodating both cloud-based and on-premise deployments to suit diverse clinical settings. Additionally, it features a universal AI viewer that allows for the viewing, editing, and annotating of AI-generated outputs while also providing pre-deployment validation and ongoing post-deployment monitoring to maintain the systems' performance over time. With seamless integration into existing Picture Archiving and Communication Systems (PACS), CARPL.ai enhances patient care, minimizes turnaround times, and boosts diagnostic accuracy, ultimately transforming the radiology landscape for better healthcare outcomes. Furthermore, its commitment to adaptability and ease of use makes it a valuable asset for radiologists looking to leverage AI technology in their practices.

ExacTrac Dynamic brings together advanced tracking technologies to enhance both power and precision in medical treatments. It ensures high-precision care across a variety of patient positioning and monitoring tasks, particularly in areas such as cranial and prostate treatments. The system features groundbreaking thermal-surface camera technology that operates alongside real-time X-Ray tracking to provide exceptional accuracy. By utilizing a 4D Thermal Camera, it generates a reliable hybrid thermal surface by mapping the patient's heat signature to their reconstructed 3D structural data. This process involves the collection of 300,000 distinct 3D surface points, which are then aligned with the thermal camera's heat signals, adding a new dimension to the tracking of patient positioning. Such innovations are set to transform the landscape of precision medicine, offering even better outcomes for patients undergoing treatment.

Altris AI is an innovative clinical decision support system powered by artificial intelligence and hosted in the cloud, aimed at helping eye care professionals with the interpretation of OCT scans and clinical decision-making. This platform streamlines the identification of pathological OCT scans while being capable of recognizing over 70 different retina pathologies and biomarkers, some of which are uncommon. Among its features are the ability to assess severity, analyze retina layer thickness, segment layers, detect pathologies, and perform both automatic and manual measurements. Altris AI seamlessly works with all OCT devices and accommodates various formats such as DICOM, JPEG, and PNG. The system holds FDA clearance, CE certification, and adheres to GDPR and HIPAA regulations, ensuring robust data security and patient confidentiality. By incorporating Altris AI into their workflow, eye care practitioners can enhance patient triage, improve diagnostic precision, and more effectively track the progression of diseases, ultimately leading to better patient outcomes. Additionally, this advanced technology empowers eye care professionals to make more informed decisions, fostering an environment of improved patient care and treatment strategies.

RadioView.AI, a cloud-based PACS solution for enterprise imaging, is a cloud-based enterprise imaging solution. Value Proposition: Our web-based, multi-site PACS, accessible through mobile apps for iOS and Android, allows radiologists to read for multiple sites and work together on a single location, improving medical access and reducing the need for print studies. It also streamlines workflows for residents, attending co-reading, and residents. RadioViewAI Automated Radiology Report Generation revolutionizes radiology reports by transforming key data into comprehensive reports and eliminating the need for traditional transcription. This advanced AI technology increases efficiency by reducing the amount of time radiologists spend speaking by up to 80%. This allows them to focus on images instead of keyboards. It increases revenue by 50% and automates billing using ICD-10 and CPT codes. RadioViewAI ARRG also provides patient-friendly summaries written in plain English.

Medis Suite XA serves as our comprehensive solution for X-Ray angiography, built upon over three decades of expertise in cardiovascular image analysis. This all-inclusive package features an array of modules, including a user-friendly viewer and various analyses dedicated to coronary and vascular assessments, enabling detailed anatomical evaluations of arteries. It also encompasses analyses for both left and right ventricles along with integrated reporting capabilities. Among its offerings are advanced analyses for coronary and peripheral vessels (QCA and QVA) as well as left and right ventriculograms (QLV and QRV). A standout feature is the innovative QFR® analysis, which evaluates the functional significance of lesions without requiring adenosine or a pressure wire. Moreover, the suite allows for seamless integration within the healthcare IT infrastructure, ensuring effortless connectivity with the DICOM network, thus enhancing workflow efficiency and patient care. Ultimately, Medis Suite XA represents a significant advancement in the field of cardiovascular imaging.

Radiolens is an innovative PACS radiology workflow solution powered by AI that enhances diagnostic processes by automatically identifying low-quality scans and generating preliminary reports for various common modalities. This system promotes clinical collaboration and improves workflow efficiency, leading to better-informed decision-making. It features automated task assignments to optimize workload distribution and provides actionable insights that are both quantitative and qualitative, enhancing the speed and accuracy of reporting. Additionally, it includes a lightweight DICOM Viewer that allows users to access cases from mobile devices, thereby eliminating the need for on-site presence with its cloud-based solution. Users receive real-time notifications on their devices, ensuring timely updates. With top-notch accuracy, unlimited image backup, and straightforward archiving capabilities, Radiolens also delivers instant AI-evaluated biomarkers for essential qualitative and quantitative metrics such as CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Its intelligent server automatically matches templates to studies based on the patient's gender and the modality being used, streamlining the workflow further. This comprehensive approach not only enhances the efficiency of radiology departments but also significantly elevates the quality of patient care.

CSAM Arcidis is an efficient and rapid solution specifically crafted for the teleradiology sector. This system can be customized to meet various customer requirements, providing a comprehensive solution for large facilities handling significant data volumes or serving as an affordable, independent application for smaller establishments with lower output. With CSAM Arcidis, transferring an 80-150mb MRI between a radiology institute and a radiologist takes less than a minute, thanks to its advanced encryption and compression techniques. The integration module allows seamless retrieval of radiological images and relevant patient information from RIS and PACS, enabling easy transmission to selected clients where the data is swiftly imported into their existing systems. Designed with user experience as a priority, CSAM Arcidis focuses on facilitating a straightforward and effective workflow. The system simplifies the process of selecting the information to be shared and the recipients, empowering healthcare professionals to dedicate more time to patient care and enhancing overall service efficiency. Ultimately, this streamlined approach contributes to improved healthcare outcomes.

Founded in 2016, Infervision stands at the forefront of AI-driven medical technology, dedicated to enhancing multidisciplinary healthcare services and operations through innovative artificial intelligence solutions. Their advanced AI offerings are designed to assist healthcare professionals across a spectrum of tasks, including disease screening, diagnosis, intervention, treatment, patient management, and medical research. Among their array of solutions, InferRead CT Lung specializes in detecting lung nodules from chest CT scans, while InferRead DR Chest focuses on identifying chest abnormalities via X-ray imaging. Moreover, InferRead CT Coronary is tailored for recognizing coronary artery stenosis during coronary CT angiography, and InferRead CT Stroke is adept at triaging hemorrhages from brain CT scans. The company also provides InferRead CT Bone for spotting chest fractures in CT images and InferRead CT Pneumonia for diagnosing and managing pneumonia cases. Beyond these, their offerings extend to InferOperate, which facilitates 3D reconstruction for thoracic, liver, and urological surgical procedures, and InferCare, a tool designed for effective patient management and image follow-up. Additionally, InferScholar acts as an AI-enhanced resource for medical research, further solidifying Infervision's commitment to transforming healthcare through AI technology. This comprehensive suite of solutions positions Infervision as a pivotal player in the evolution of medical practices.

The Medical Imaging Suite from Google Cloud is crafted to revolutionize the way organizations handle imaging diagnostics by ensuring that imaging data is not only accessible but also interoperable and beneficial. This suite provides a secure, compliant, and fully managed service to oversee healthcare data in various formats such as FHIR, HL7v2, and DICOM, alongside unstructured text in natural language. Utilizing a cloud infrastructure simplifies the process of storing and sharing extensive collections of medical images that are prevalent in the healthcare sector, making it both efficient and economical. The Cloud Healthcare API facilitates operations to read DICOM instances, studies, and series in alignment with the DICOMweb standard. Furthermore, the suite enhances research capabilities and improves the overall patient experience in healthcare by providing comprehensive solutions for data storage and analysis, among other functionalities. Additionally, it offers guidance on concepts and best practices for the integration of third-party medical imaging viewers with the Cloud Healthcare API, ensuring a seamless experience for users. This holistic approach not only streamlines workflow but also fosters innovation in the medical imaging landscape.

Realize Medical's Elucis is an FDA-approved extended reality platform that simplifies the segmentation of images, promotes collaboration among remote teams, and allows for procedural planning in a virtual reality space. Elucis is capable of handling an unlimited number of 3D and 4D CT and MR images, ensuring thorough project integration. It boasts cutting-edge image processing features, including both manual and automatic registration, as well as the display of images in 2D, 3D, and 4D formats. The platform’s segmentation tools are engineered for efficiency and user-friendliness, enabling precise measurement, cutting, and planning tasks directly in a virtual environment. Additionally, Elucis includes advanced 4D modeling capabilities that permit intricate segmentation of cardiac structures in mere minutes, regardless of the phase. Users have the flexibility to import 3D structure files from external sources and can easily export their work with a single click. Furthermore, the platform enhances teamwork by allowing multiple users to connect seamlessly with local or remote colleagues throughout the entire workflow, making it a versatile tool for medical professionals. This feature not only streamlines communication but also ensures that all stakeholders can contribute effectively to the project.

Cardiovascular diseases cause over 20 million fatalities globally each year, with many of these lives potentially saved through timely detection. However, the healthcare system worldwide is often bogged down and constrained by human limitations in conducting thorough analyses. This is where AIATELLA makes a significant impact. Our innovative AI-driven image analysis technology revolutionizes cardiovascular diagnostics by streamlining manual vascular measurements in a detailed and quantifiable manner. Leveraging historical data, we substantially reduce the time, expenses, and expertise required, thereby enhancing the capacity for essential imaging. The AIATELLA solution boosts the speed, accuracy, and precision of diagnostics, providing vital measurements and assessments of disease progression in mere seconds, rather than the traditional hours. Consequently, by elevating the efficiency and reliability of analyses, we empower doctors to dedicate more time to patient care while fostering a new era of preventative and personalized medicine accessible to everyone. Moreover, this advancement signifies a shift toward a more proactive approach in healthcare, where early intervention becomes the norm rather than the exception.

AbbaDox stands at the intersection of tech and healthcare, driving radiology workflow with its comprehensive cloud-based software. This tool not only optimizes outpatient imaging operations, but also integrates proprietary applications, third-party collaborations, and value-added services into one intuitive interface. Since 2003, AbbaDox's scalable, flexible, and user-friendly solutions have set new standards in healthtech. Who utilizes AbbaDox? From inpatient/outpatient settings, teleradiology, to hybrid environments, and beyond to surgical centers and multispecialty clinics, AbbaDox caters to a diverse range of healthcare settings. Learn more about how AbbaDox is advancing the healthtech revolution.

Implement comprehensive clinical decision support across your entire organization. Enhance your PACS and EMR systems to streamline imaging processes and boost patient care quality. We recognize that you manage diverse types of images from various sources, and your patients deserve optimal care. While sometimes a single solution may suffice, achieving an enterprise-wide AI-powered imaging analysis is possible with a contemporary technology framework and an intuitive user interface tailored for all physicians. Whether it's for radiology assessments, procedural planning, or consultations at the point of care, users can utilize a complete range of clinical resources through a robust advanced UI or a straightforward web-based interface. TeraRecon is capable of handling multiple imaging modalities and can support up to 40 concurrent users engaged in sophisticated image processing from one virtual server, whereas competitors typically struggle to accommodate many modalities or users without requiring additional servers. This scalability and flexibility position TeraRecon as a leader in the field of imaging solutions.

Adaptable and customizable, this system caters to a wide range of healthcare setups, from individual physician offices to extensive hospital networks and global clinical research organizations. Rest assured that your information remains secure, eliminating the complications associated with hardware and IT oversight. It surpasses both HIPAA and PIPEDA regulations for safeguarding privacy and securing data. With a user-friendly design, the Studycast platform offers a seamless workflow that spans from the examination process to archiving. When you incorporate the optional integration features, the system completes the cycle from ordering to delivering results. Effortlessly upload studies, as images, measurements, and patient information are automatically transferred from the imaging modality into the Studycast platform. The zero-footprint viewer operates efficiently, allowing you to access diagnostic-grade images and video loops from any location with internet connectivity, including on mobile devices. This capability ensures that healthcare professionals can maintain productivity and provide timely patient care, no matter where they are.

Online tele-reporting enhances the ability to perform thorough radiology diagnoses for patients globally. This process involves the straightforward sharing of medical images from X-rays, MRIs, and CT scans with healthcare specialists. Among the prominent solutions available, Adinocs Tele Reporting stands out as a web-based platform tailored to meet the diverse needs of diagnostic centers, physicians, hospitals, and emergency services. By utilizing communication and information technology through portable medical devices, this system provides advantages for both patients and healthcare providers. Furthermore, this innovative approach allows medical professionals to deliver continuous radiology services, streamlining non-invasive imaging procedures—including digitized ultrasounds, MRIs, CT scans, X-rays, and nuclear medicine scans—through a cohesive teleradiology reporting service. Ultimately, this technology not only improves diagnostic accuracy but also enhances accessibility to critical medical imaging services for patients in urgent need.

InformAI specializes in artificial intelligence solutions designed to enhance medical diagnostics at the point-of-care and boost the efficiency of radiologists. Our advanced AI-driven image classifiers and predictions related to patient outcomes are developed in collaboration with the Texas Medical Center, which is the largest medical center complex globally. Through partnerships with esteemed healthcare organizations, prominent physician associations, and top medical imaging firms, InformAI is revolutionizing healthcare delivery. Our team is made up of experts in the fields of healthcare, medicine, and artificial intelligence, working together to create innovations that lead to better patient results. One of our notable products, the InformAI Sinus Image Classifier, utilizes a 3D convolutional neural network (CNN) and is trained on a comprehensive library of 6 million radiology-validated 3D CT-scan images, showcasing our commitment to leveraging cutting-edge technology in the medical field. This approach not only enhances diagnostic accuracy but also contributes to more timely and effective patient care.

PowerScribe One represents an advanced radiology reporting solution that utilizes artificial intelligence to enhance both diagnostic precision and workflow productivity. By leveraging Microsoft Cloud for Healthcare, this platform automates key elements of the radiology reporting process, such as creating initial impressions and providing immediate clinical insights. Its innovative features, which include Smart Impression and AI-driven findings, empower radiologists to generate comprehensive reports more swiftly and with reduced mistakes. Additionally, PowerScribe One facilitates smooth connectivity with electronic medical records (EMR) and incorporates cloud-based speech recognition technology, leading to more accurate documentation. This combination not only streamlines the reporting process but also significantly contributes to better patient care and outcomes. Ultimately, the integration of these technologies positions PowerScribe One as a vital tool for modern radiology practices.

Fujifilm's Synapse 3D represents a cutting-edge visualization solution that has been crafted in conjunction with a variety of medical professionals, including radiologists, cardiologists, and surgeons, providing more than 50 applications designed to improve both the accuracy and efficiency of diagnoses. This platform features advanced server-side technology that accommodates both cloud and on-premise hosting, enabling sophisticated image analyses that aid in interpretation, reporting, and treatment planning while promoting effective clinical collaboration throughout the organization. It addresses specialty fields such as cardiology, pulmonology, oncology, urology, neurology, and gastroenterology, showcasing its versatility. The architecture of Synapse 3D is scalable, allowing for unlimited expansion, and its reliable workflows boost overall productivity while catering to extensive visualization requirements through specialized applications. The platform also includes native cardiology features that enhance cardiac care, and its AI-driven detection capabilities significantly enhance the accuracy and efficiency of interpretations. Additionally, Synapse 3D offers seamless integration with Fujifilm's Synapse Enterprise PACS, making it an invaluable resource for healthcare providers seeking to optimize patient outcomes. With these comprehensive features, it stands to revolutionize the way medical imaging is approached in clinical settings.

IntelePACS® is crafted to simplify intricate settings, offering hospitals, imaging centers, and teleradiology entities a powerful platform for the storage, retrieval, and distribution of medical images. By integrating secure communication protocols and advanced compression technologies, our PACS software guarantees the integrity of both radiology images and patient data, ensuring that electronic images are readily available anytime, anywhere, and for any case. Distinguished by its exceptional interoperability, this picture archiving and communications system integrates effortlessly with various third-party health information systems (HIS), radiology information systems (RIS), and electronic medical record (EMR) solutions. For radiologists, it features the acclaimed InteleViewer™, an intuitive and comprehensive DICOM viewer celebrated for its user-friendliness and functionality. The combination of these features makes IntelePACS® a preferred choice for healthcare providers looking for reliable imaging solutions.

Zebra's Imaging Analytics Engine processes imaging scans from multiple modalities and conducts automatic analyses of various clinical findings, ensuring efficiency and seamless integration with the radiology workflow. Healthcare providers rely on Zebra-Med to notify them about patients who are at elevated risk for cardiovascular, pulmonary, skeletal, and other health issues. This system enhances preventative care initiatives, supports accurate risk adjustments, and aids in meeting quality benchmarks like MACRA. By utilizing Zebra-Med, healthcare professionals can concentrate their efforts on the most vulnerable patients at critical moments, ultimately leading to reduced expenses and enhanced patient care outcomes. Consequently, this innovative approach not only improves the quality of care provided but also optimizes resource allocation across the healthcare system.

The FDA-cleared D2P® software, in combination with 3D Systems printers, empowers surgeons, radiologists, lab technicians, and device designers to efficiently generate high-quality diagnostic digital 3D models and tangible 3D prints. By importing DICOM images into the D2P standalone modular software, all necessary steps for 3D model segmentation and preparation are streamlined into a single workstation. Designed as a medical device, D2P facilitates pre-operative surgical planning and the creation of 3D-printed anatomical models for diagnostic use. Its distinctive image segmentation toolkit, paired with sophisticated virtual reality (VR) visualization, significantly reduces the time and effort required for clinicians and point-of-care (POC) personnel to produce customized anatomical models for their patients. Furthermore, the digital models generated by D2P can be utilized across various platforms, including 3D printers, VR systems, surgical planning applications, and CAD software, enhancing the overall flexibility and effectiveness of medical practices. This innovative approach not only improves surgical preparation but also fosters collaboration among healthcare professionals by providing them with precise and accessible anatomical representations.

VolView is an open-source tool designed for radiological professionals, enabling them to visualize DICOM data in three dimensions through interactive cinematic volume rendering. This application runs directly in web browsers, allowing secure data handling as files remain on the user's device without requiring installation. Supporting a convenient drag-and-drop interface for DICOM files, VolView excels in delivering high-quality and interactive 3D renderings. Users can explore various color presets, modify lighting and transparency settings, crop images, and engage with 3D data for enhanced understanding. The platform features both standard 2D and 3D controls, measurement tools, and annotation capabilities, with continual updates made in response to user suggestions. As it operates locally, VolView harnesses the processing power of the user's CPU, GPU, and disk space, avoiding reliance on external servers or cloud services. Additionally, being open-source, it remains freely available to healthcare professionals, promoting wide accessibility and collaboration in the clinical community. This empowers clinicians to utilize advanced visualization techniques in their diagnostic processes.

Surgical Science stands out as a premier provider of medical simulation training and software solutions, with a commitment to improving patient safety and healthcare results through personalized, validated simulations. By offering high-fidelity simulations, they allow healthcare professionals to refine their skills—ranging from fundamental techniques to the management of intricate cases—safely, without exposing patients to risk. Renowned by surgeons, clinicians, and healthcare teams globally, Surgical Science's evidence-based simulations contribute to enhanced patient care on a daily basis. With over 8,000 simulators in operation, spanning more than 150 medical procedures and backed by over 400 validated studies, their influence is considerable. Their ready-to-use simulators, combined with evidence-based customizable curricula, empower healthcare professionals and teams to advance their expertise, foster professional development, and ultimately enhance the quality of patient care and safety. Furthermore, the integration of these advanced simulation tools into training programs has revolutionized the way medical professionals prepare for real-world challenges, ensuring they are equipped to provide the best possible care in critical situations.

CSAM TRIS is a robust and versatile Radiology Information System designed specifically for healthcare professionals working within Nordic Radiology Departments. This user-friendly platform combines high functionality with stability, catering effectively to radiology departments of varying sizes and workflows. Thanks to ongoing input from committed users, CSAM TRIS excels in delivering a seamless experience for its operators. Essential tasks can be executed swiftly through intuitive keystrokes and specialized tools, showcasing the system’s remarkable balance between information management and usability. Furthermore, CSAM TRIS enhances IT connectivity among X-ray departments, clinical teams, outpatient facilities, and primary healthcare services, all while prioritizing user needs related to security and quality. The software is equipped with a range of contemporary features, such as the ability to send interactive online referrals directly to Radiology, ensuring a comprehensive approach to patient care. Overall, CSAM TRIS stands as a testament to innovative technology in the healthcare sector.

Vesalius3D is an advanced software solution designed for exceptional 3D visualization and exploration of personalized anatomical structures specific to individual patients. This tool enables users to visualize intricate details of patient anatomy that may be overlooked when relying solely on traditional 2D imaging slices. With its user-friendly interface, the software allows for quick navigation within the patient’s anatomy, providing a seamless experience. Importantly, Vesalius3D operates with standard medical imaging modalities like CT, MRI, and Ultrasound, eliminating the need for specialized scans. It includes presets tailored to the most frequently encountered tissue types. Additionally, the software features preconfigured visualizations that let users immediately access results without the hassle of manual adjustments, focusing on commonly used tissues. Beyond visualization, Vesalius3D includes an array of measurement tools, offering both 2D quantification options—such as measuring distances, angles, and contour areas—and 3D quantification capabilities to analyze shapes, contours, and spatial relationships accurately. This comprehensive suite of features empowers healthcare professionals to gain deeper insights into patient anatomy efficiently.

INFINITY ANALYZE 7 is a user-friendly software solution tailored for camera management, capturing images, and processing them in life science, clinical, and industrial research settings. It accommodates both brightfield and fluorescence imaging modes, guaranteeing results that are reproducible, precise, and of high quality. The software boasts a variety of functions, including image processing, fluorescence acquisition, calibration settings, customizable presets, annotations, and extensive camera controls. Users are able to engage in activities such as focus stacking, image stitching, and executing numerous post-processing techniques on the acquired images. The fluorescence functionality supports both multi-channel and single-channel image acquisition, simplifying the creation of composite images from sequences. Enhanced workflow efficiency is achieved through user-defined button labels and hotkeys, which provide rapid access to presets during microscope objective switches. Additionally, users can incorporate annotations such as lines, arrows, and shapes to emphasize specific areas of interest within their images, further enriching the visual data presentation. This versatility makes INFINITY ANALYZE 7 an invaluable tool for researchers aiming for detailed and organized imaging capabilities.

Brainlab's Elements Multiple Brain Metastases SRS represents a cutting-edge software solution aimed at optimizing the planning and execution of treatment for patients suffering from multiple brain metastases. This innovative workflow allows healthcare providers to target several metastases at once without subjecting the entire brain to radiation, thus significantly shortening the duration of treatment delivery. The procedure starts with pre-planning steps that are supported by automation, which includes tasks like image fusion, distortion correction, object outlining, and segmentation; all of which enhance both the speed and precision of the planning process. The software utilizes inverse-optimized dynamic conformal arc techniques, focusing on a single isocenter to achieve highly conformal dose distributions with sharp gradients, ensuring accurate target coverage while protecting surrounding healthy tissue. This method facilitates the rapid generation of consistent, high-quality radiosurgery plans within minutes, ultimately benefiting clinicians and patients alike by reducing treatment durations and enhancing overall outcomes. Moreover, the efficiency and effectiveness of this software can lead to improved patient satisfaction and a more streamlined clinical workflow.

Unifier stands out as an advanced and interoperable enterprise imaging platform that guarantees seamless integration of health data, making it readily available and enhancing both patient care and IT efficiency. Dicom Systems offers a comprehensive range of adaptable enterprise imaging solutions designed to grow alongside your organization. This platform supports teleradiology processes, smart data routing, SSL-based integration tools for DICOM and HL7, and features an AI on-ramp, culminating in robust vendor-neutral archiving for large enterprises. It allows for routing based on any standard or private DICOM tag, as well as by specific dates and times, while also caching data for future delivery. The system ensures interoperability across diverse information systems and any devices that support DICOM and HL7. Additionally, it conducts checks for incomplete study deliveries to guarantee that all necessary data is transferred. With intuitive configuration tools and an easy-to-follow setup wizard, the platform ensures a seamless user experience. Furthermore, it includes comprehensive management capabilities for enterprise-wide configuration, along with detailed logging and auditing features to support HIPAA compliance, making it an all-encompassing solution for modern healthcare data management.

The ARIA® oncology information system is designed to assist both medical and radiation oncology, accommodating even proton therapy. It allows for the review of clinical images, prescriptions, lab results, quality assurance data, patient outcomes, and much more. Cancer staging is automated in accordance with AJCC guidelines, and the system provides flexible management of toxicities. Emphasizing interoperability, ARIA ensures that patient data can be utilized seamlessly across various devices and platforms. It includes comprehensive support for HL7 and DICOM, facilitating the easy transfer of patient information between hospitals. With immediate access to patient data, your teams can enhance their planning capabilities and implement necessary adjustments in real-time. Additionally, ARIA aids in optimizing image-guided treatment techniques by utilizing radiographic, fluoroscopic, and cone-beam CT images effectively. The system also documents activities vital for evidence-based Pay-for-Performance programs while ensuring compliance with HIPAA regulations. Furthermore, ARIA efficiently stores and organizes patient data and images, allowing your teams to remain informed and concentrated on delivering high-quality care. This comprehensive approach not only streamlines workflow but also enhances patient outcomes significantly.

RadPix serves as a radiological teaching file system that seamlessly integrates into any PACS setup, enabling users to transfer selected images from the PACS directly to a dedicated webserver for teaching files. Users can construct comprehensive teaching files by incorporating text, images, and annotations, which are crafted using specialized drawing tools tailored for radiologists. The system allows for the export of images in various formats, including JPG, PowerPoint presentations, Image Stacks, and videos. High-quality TIFF images with annotations can also be generated and downloaded with ease. Additionally, cases can be organized into presentations for display in live environments or for assessment purposes. Users have the ability to navigate through image stacks, adjust window and level settings, toggle annotations, and respond to questions. Accessing images from a PACS becomes a streamlined process with this complete software solution, which enhances the educational experience from the initial reading of cases to the limitless opportunities for learning that follow. In essence, RadPix transforms the way radiologists engage with teaching materials, making it an invaluable tool in radiological education.

A cloud platform that is accessible from anywhere, infinitely scalable, and powered by AI offers collaborative features while adhering to the strictest security and compliance standards. This user-friendly software, designed by specialists in neuroimaging and data science, addresses the specific and complex requirements of the neuroscience field. Customized to suit your particular needs, it supports a wide range of activities, including research, clinical trials, point-of-care applications, algorithm development, and the utilization of brain-related data. The platform facilitates global data aggregation and consolidates imaging studies into a single cloud environment. It provides an efficient, comprehensive management solution for clinical, real-world data, and medical imaging information. Users receive tailored, expert assistance throughout their studies to ensure successful outcomes. Additionally, it features centralized reading capabilities and the option to compare quantitative results against a normative database. The platform also guarantees high-quality, shareable reporting and data export options to streamline the submission approval process, making it an invaluable tool for neuroscience professionals. Furthermore, its innovative design enhances collaboration among researchers and clinicians, fostering a community dedicated to advancing the field.

NilNexus allows radiologists to increase productivity by up to 20%, while improving quality and decreasing turnaround times. NilNexus uses intelligent algorithms to match the right study with the right physician. This improves accuracy and throughput. NilNexus helps to assign work equitably among qualified healthcare professionals. This prevents cherry-picking, and optimizes productivity across the enterprise. The use of color coding makes it easier to see the target timelines and helps to ensure that studies are completed on time. NilNexus distributes studies based on user profiles that are composed of a unique set of criteria.

The Bookend Healthcare AI Agent platform is designed to enhance administrative processes across all facets of healthcare, from patient care to payment processing. By simplifying intricate prior authorization workflows, the platform alleviates healthcare providers from tedious manual tasks, thereby decreasing the likelihood of costly denials. With automation at its core, our solution not only boosts operational efficiency but also accelerates revenue cycles, ultimately leading to improved patient outcomes. Our intelligent agents meticulously analyze patient data, comprehend insurance policies, and compile essential information for precise and prompt submissions, resulting in increased approval rates and quicker reimbursements. Transforming the healthcare landscape, our AI-driven platform automates the creation and implementation of tailored care plans. We enable healthcare providers to proactively pinpoint evidence-based interventions, which enhances patient outcomes while minimizing costs. Additionally, our platform equips clinicians with the tools to make informed, data-backed decisions, further elevating the quality of care and fostering higher patient satisfaction levels. Through continuous innovation, we aim to set new standards in healthcare service delivery.

3M™ M*Modal CDI Engage One™ is a sophisticated cloud application that leverages cutting-edge artificial intelligence (AI) and natural language understanding (NLU) technologies to improve clinical documentation integrity (CDI). It integrates proactive clinical insights into both front-end and back-end workflows, supporting physicians and CDI teams in producing thorough and precise clinical narratives. The application performs real-time analysis of electronic health record (EHR) notes and narrative documents, effectively identifying and resolving gaps in patient care and documentation. In terms of back-end CDI workflows, it delivers evidence-based evaluations, prioritization of worklists, and a clinically-focused review process, which simplifies query procedures while ensuring the accuracy of documentation and revenue integrity. Additionally, the integration with the 3M™ 360 Encompass™ System amplifies its functionality, offering customizable and continuously updated worklists alongside access to extensive reporting tools. This innovative approach not only enhances efficiency but also contributes to improved patient outcomes by ensuring that clinical documentation is both accurate and comprehensive.

Our extensive range of products encompasses VNA, PACS systems, Radiology Information Systems (RIS), Diagnostic Viewers, and AI-driven Medical Diagnostic Support Solutions (MDSS) tailored for applications such as MMG, CT chest, ECG, and endoprosthesis imaging via X-ray. With over 300,000 active users each month and 20,000 units of diagnostic equipment seamlessly integrated with our PACS|VNA, we are proud to provide cutting-edge technological solutions designed to enhance patient care. We are eager to share our expertise in healthcare digitalization, aimed at enriching the lives of patients through improved diagnostic processes. Our commitment extends to facilitating the adoption of our solutions to streamline workflows for end users, including radiologists, oncologists, and cardiologists. Drawing on 14 years of experience collaborating with 5,000 clinics, we have developed core competencies that support a comprehensive and modular platform for the entire imaging process, independent of vendor constraints. Additionally, our AI-based medical decision support systems are designed to efficiently prioritize cases with pathologies on a single screen, utilizing a red-yellow-green alert system to enhance clinical decision-making. This innovative approach ensures that healthcare providers can focus on what truly matters: delivering exceptional patient care.

See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.

CureMetrix harnesses the capabilities of Artificial Intelligence (AI) to enhance technology aimed at bettering disease detection and boosting cancer survival rates on a global scale. Our mission is centered on equipping radiologists with state-of-the-art tools that facilitate their assessment of mammograms, ultimately leading to enhanced clinical and financial results, as well as greater confidence for imaging centers, healthcare systems, and the patients they serve. Initial research involving thousands of images indicates that our innovative algorithm has the potential to decrease false-positive rates, which can help avoid unnecessary follow-up procedures and alleviate patient anxiety. We are committed to creating advanced technology that allows healthcare providers to detect even the smallest changes more swiftly and accurately than ever before. Our image analysis platform is specifically engineered to enhance the evaluation of dense breast tissue through mammography, thereby improving diagnostic accuracy and patient care. As we continue to refine our technology, we remain focused on the impact it can have on the future of medical imaging and patient outcomes.

While many modern radiology machines come equipped with their own Picture Archival and Communication System (PACS), there are several compelling reasons to choose our PACS instead. Our PACS offers superior tools for handling DICOM images, ensuring a more efficient workflow. Additionally, it seamlessly integrates with the RIS of our Electra HMIS product, eliminating any potential compatibility issues with other PACS. This integration allows for the storage of radiology images alongside the patient's Electronic Medical Record (EMR) details, ensuring accurate records related to the date, time, and medical condition relevant to the diagnostic imaging performed. Furthermore, our PACS simplifies the process of accessing and manipulating both the radiology images and their accompanying reports, thereby enhancing overall productivity and patient care. By utilizing our PACS, healthcare providers can ensure a streamlined experience that supports improved diagnostics and better patient outcomes.

A Radiology Information System (RIS) serves as a networked solution designed to oversee workflow and patient information within the Radiology department, proving particularly beneficial for handling radiological records across various locations, often in tandem with a Picture Archiving and Communication System (PACS) to facilitate workflow and billing processes. ThaiRIS, a web-based application, enables users to access it via a web browser from any location and is tailored to streamline Radiology workflow, with the flexibility to be customized according to the specific requirements of individual hospitals. Additionally, ThaiRIS can function as a Tele-Radiology tool, enhancing reporting capabilities and improving overall efficiency in radiological services. By integrating these systems, healthcare providers can achieve better management and communication of patient data.