Alternatives to Behold.ai

Arterys is an innovative medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your existing PACS or EHR workflows, making it an intuitive extension of your current practices. Our goal is to bring AI into the forefront by enhancing physician experiences, improving diagnostic accuracy and treatment efficacy, optimizing financial outcomes, and providing significant benefits for both patients and healthcare providers. Accessible from any validated device through the cloud, it offers rapid performance and easy deployment without the exchange of PHI, ensuring complete security. Fully connected to PACS, RIS, EMR, and dictation software, Arterys enhances your workflow without disruption. Its rapid deployment capabilities require minimal on-premise infrastructure, and it is commercially available in more than 100 countries. The platform's elastic cloud GPU architecture significantly boosts the performance of various tasks, such as rendering complex 3D files, handling large multi-dimensional datasets, and executing multiple AI applications simultaneously in real time. Additionally, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis, making it an indispensable tool in modern healthcare. This comprehensive approach positions Arterys as a leader in transforming medical imaging through artificial intelligence.

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.

Our innovative AI solutions are crafted to enhance the capabilities of healthcare professionals at critical stages of the medical process. Whether it's during preventive screenings, early diagnosis, emergency interventions, managing institutional disease outbreaks, or ensuring treatment compliance, we facilitate a smooth optimization of workflows throughout the entire care spectrum. By partnering with esteemed healthcare authorities and leveraging vast amounts of data to inform our algorithms, we ensure that our AI meets the highest global regulatory requirements. Supported by extensive research in data science, our offerings are designed to predict healthcare needs, especially in challenging situations. Our AI solutions are primed for immediate use, adaptable to various settings and situations as necessary. They seamlessly integrate with your existing technology framework and can be customized to work with your preferred devices. We provide straightforward deployment and scaling options while guaranteeing top-tier data security that complies with industry standards. Additionally, our dedicated team is committed to guiding you through every phase of your AI implementation journey, ensuring you feel confident and supported. With our solutions, you can transform your healthcare delivery and improve patient outcomes significantly.

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.

Altris AI is an advanced, cloud-based clinical decision support system powered by artificial intelligence, specifically tailored to aid eye care professionals in interpreting OCT scans and making informed decisions. The platform streamlines the identification of pathological OCT scans while recognizing over 70 retina-related pathologies and biomarkers, which include some that are quite uncommon. Features of the system encompass severity detection, analysis of retina layer thickness, layer segmentation, and both automatic and manual measurement capabilities. It is designed to work seamlessly with all OCT devices and accommodates various data formats like DICOM, JPEG, and PNG. Furthermore, Altris AI has received FDA clearance, CE certification, and is compliant with GDPR and HIPAA regulations, thereby upholding rigorous standards for data security and patient confidentiality. By integrating this innovative tool into their practices, eye care professionals can significantly enhance patient triage, improve diagnostic precision, and more effectively track the progression of diseases over time. As a result, the adoption of Altris AI not only streamlines workflows but also elevates the overall quality of patient care in eye health.

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.

Enhance your examination capabilities from any location and boost patient outcomes with intuitive, real-time imaging that is both economical and highly portable. Introducing the groundbreaking 3rd generation portable ultrasound, which is now 30% smaller and lighter than its predecessors. The Clarius HD3 offers unparalleled portable ultrasound technology tailored for your specific specialty, featuring a user-friendly app driven by artificial intelligence and seamlessly integrated with cloud connectivity. With the Clarius HD3, you can expect crisp and clear imaging that makes it simple to pinpoint anatomy, accurately diagnose conditions, and guide procedures in real-time right at the patient's side. This innovative device is equipped with artificial intelligence, 192 piezoelectric elements, and an impressive eight beamformers, which together provide the superior performance typically associated with cart-based systems, all while maintaining the lightweight feel of a conventional probe. As we move towards a future where smart devices operate without ports, the Clarius HD3 incorporates cutting-edge antenna technology designed for the most dependable direct WiFi connection to your mobile iOS or Android devices, eliminating the need for ports or cables altogether, thus ensuring maximum convenience. This advancement represents a significant leap forward in diagnostic imaging technology.

Cardiovascular diseases result in more than 20 million fatalities globally each year, many of which could be avoided through timely detection. Unfortunately, the healthcare sector is often stretched thin, hindered by the limitations of human analysis capabilities. This is where AIATELLA makes a significant impact. Our innovative AI-driven image analysis technology revolutionizes cardiovascular diagnostics. By automating the intricate measurements of blood vessels and leveraging historical data, we substantially reduce the time, expenses, and required expertise, thereby enhancing the potential for vital imaging procedures. AIATELLA's approach not only accelerates the diagnostic process but also boosts the precision and reliability of results, providing critical measurements and disease progression insights in mere seconds rather than hours. As a result of this increased efficiency and accuracy in analyses, healthcare providers can dedicate more time to patient care, ultimately paving the way for effective preventative strategies and personalized treatment options for everyone. This shift could redefine how we approach cardiovascular health on a global scale.

Us2.ai is revolutionizing the battle against heart disease by utilizing AI-driven ultrasound software that ensures heart health can be accessible to everyone. This innovative platform provides 45 automated echo parameters, such as strain analysis, and enables real-time interpretation of 2D and Doppler images. It seamlessly integrates with any ultrasound machine, producing zero-click, comprehensive reports that maintain high accuracy and can be easily compared with expert evaluations. The AI echo copilot from Us2.ai autonomously analyzes all heart chambers through both 2D and Doppler perspectives, incorporating global reference guidelines into detailed, real-time reports. Recently, the software obtained FDA clearance for Us2.v2, which also boasts 45 automated echo parameters, including strain analysis, representing a remarkable advancement in healthcare technology. Ultimately, Us2.ai aims to democratize echocardiography, ensuring that ultrasound technology is available to individuals regardless of their location or circumstances, thereby promoting better heart health for all. This commitment to accessibility and innovation positions Us2.ai at the forefront of the medical technology landscape.

Our innovative AI solution empowers healthcare practitioners to conduct high-quality ultrasound examinations anytime and anywhere, irrespective of their experience level with ultrasound technology. While ultrasound serves as a reliable and effective diagnostic instrument, mastering its use can be challenging, requiring extensive specialized training and often resulting in variable image quality. The examination process demands precise hand-eye coordination and can be visually unintuitive, complicating the learning curve. Moreover, conventional ultrasound software fails to provide guidance on how to maneuver the ultrasound transducer effectively or offer immediate feedback regarding the clarity of the images obtained. This can lead to subpar imaging, which in turn results in overlooked diagnoses, unnecessary repeat exams, and inconsistent interpretations of the results. Consequently, the full potential and advantages of ultrasound technology have not been completely harnessed. With the advent of our AI-driven technology, any healthcare provider can now effortlessly capture high-quality diagnostic ultrasound images, as the AI assists them throughout each phase of the scanning procedure, ensuring accuracy and efficiency. This advancement not only enhances the diagnostic capabilities of healthcare providers but also promotes better patient outcomes through timely and accurate assessments.

Pulse is a cloud-based solution designed for echocardiography labs aiming to enhance efficiency and patient outcomes. This platform facilitates reporting, storage, and analysis of echocardiograms, ensuring that you can access patient information whenever and wherever it's needed. Physicians benefit from the ability to review studies and finalize reports from virtually any location, making it an essential tool for contemporary echocardiography practices. With a user-friendly and robust reporting interface conveniently located alongside images and measurements, Pulse empowers users to navigate their tasks seamlessly. Its AI-driven features allow for fully automated measurements of GLS, LVEF, LVEDV, and LVESV, eliminating the need for manual input. Furthermore, the platform minimizes security risks while maximizing the advantages associated with cloud-native technology. Reports can be sent directly to your electronic health record (EHR) via HL7, effectively streamlining clinical workflows. You can easily store new studies right from the cart or retrieve existing studies from an external PACS. Moreover, integrated support for DICOM-TLS simplifies the management of secure data access, sparing users from the complexities of VPN setups. Overall, Pulse is revolutionizing the way echocardiography labs operate by combining technology with clinical expertise.

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.

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.

NeuroQ stands out as a premier software for brain imaging analysis, delivering a robust diagnostic resource applicable across various modalities and clinical scenarios. This comprehensive tool supports an array of imaging techniques, including FDG, Amyloid, SPECT, DaTscan, and Epilepsy, thereby enhancing diagnostic precision in differentiating between various conditions. As one of the most prevalent quantitative instruments utilized in the differential diagnosis of dementia, NeuroQ transcends simple visual evaluations by offering crucial, objective diagnostic insights. It efficiently assesses metabolic levels across over 240 predefined brain regions, contrasting them with a normative database to quantify the extent of abnormalities and their statistical significance. Designed to assist in the evaluation of human brain scans, NeuroQ meticulously quantifies mean pixel values within standardized areas of interest and allows for detailed comparisons with other brain images, ultimately contributing to better patient outcomes. This innovative software is essential for clinicians seeking reliable data to inform their diagnostic processes and treatment decisions.

Three Palm Software has developed a breast imaging workstation named WorkstationOne, which features a unique approach to enterprise integration and interpretation workflow. Recognizing the challenges faced by radiologists transitioning to digital mammography, the company emphasizes the importance of enabling efficient reviews of digital mammograms that match the speed of traditional film readings on motorized lightboxes. The workstation boasts a sleek and user-friendly interface tailored to accommodate the rigorous demands of radiologists. It employs advanced viewing strategies, such as Tabár’s systematic viewing mask techniques, to enhance the detection of subtle radiographic abnormalities. Users can navigate full-resolution images seamlessly with a mouse wheel, allowing for visual tracking of pixels that have already been examined, thus eliminating the need for manual panning and zooming to ensure all pixels are viewed in their highest clarity. This innovation not only streamlines the workflow but also enhances diagnostic accuracy for healthcare professionals.

The SenseCare Smart Health Platform, created by SenseTime, represents a powerful diagnostic and treatment support tool that integrates cutting-edge AI algorithms with sophisticated image post-processing capabilities. Leveraging extensive medical big data, this platform is designed to offer intelligent solutions for multiple clinical departments, enhancing the entire cycle of diagnosis, treatment, and recovery while increasing the precision and effectiveness of doctors' planning and decision-making processes. Furthermore, SenseCare allows for effortless integration with existing CT, MRI, and X-ray devices, as well as PACS, without disrupting the established workflows within healthcare facilities. Users across the hospital can conveniently log into the platform and conduct analyses through web browsers on a range of portable devices, eliminating the need for additional plug-ins. The system also supports a variety of automated 3D post-processing techniques, including MPR, CPR, and VR, thereby streamlining the workflows associated with diagnosis, treatment, and rehabilitation. By facilitating these processes, SenseCare not only enhances operational efficiency but also fosters improved patient outcomes through more effective healthcare delivery.

Medgnosis is a cutting-edge application tailored to enhance the interpretation of X-ray images by radiologists. Utilizing sophisticated machine learning techniques, it meticulously analyzes user-selected X-ray images to predict possible abnormalities. This tool serves as an invaluable resource, enriching the diagnostic process with an extra layer of expertise and efficiency. By employing deep learning and neural networks trained on a vast array of data, Medgnosis proficiently detects a diverse range of conditions visible in X-ray scans. Its performance not only rivals but often exceeds traditional diagnostic methods, featuring a system that is continually refined to remain at the leading edge of medical technology. Additionally, Medgnosis produces comprehensive diagnostic reports swiftly, integrating detailed health issue identification, evaluations of severity, and suggested next steps into an easily understandable format. This efficient methodology significantly aids healthcare professionals in making prompt and informed decisions, ultimately enhancing patient care outcomes. Furthermore, the user-friendly interface ensures that even those with limited technical expertise can effectively utilize the application.

Aidoc creates cutting-edge decision support software powered by AI specifically designed for the healthcare sector. This innovative technology processes medical imaging to deliver one of the most thorough solutions for identifying acute abnormalities throughout the body, enabling radiologists to prioritize critical cases and accelerate patient treatment. By equipping radiologists with tools to swiftly detect urgent medical conditions, it effectively minimizes the overall time taken to generate reports, seamlessly integrating into their workflow. The 510(k) triage and notification software is tailored for evaluating non-enhanced head CT images, alerting users to suspected positive findings such as Intracranial Hemorrhage (ICH). Additionally, the software is suitable for analyzing Head CTA images, where it identifies and communicates the presence of Brain Aneurysms (BA), as well as for Chest X-Ray images, where it flags the occurrence of Pneumothorax (Ptx). This multifaceted approach not only enhances diagnostic accuracy but also significantly improves patient outcomes by ensuring timely interventions.

Accelerating the speed, precision, and affordability of cancer diagnoses is crucial, especially considering that one in three individuals will face this disease in their lifetime. Unfortunately, the current diagnostic process is often hindered by slow and costly methods, primarily due to the lack of advanced automated tools that support healthcare professionals. Qritive addresses this challenge by offering an AI-driven solution designed to assist physicians in analyzing both microscopy images and textual patient data efficiently. This innovation not only enhances the effectiveness of hospitals in diagnosing cancer but also contributes to significant cost savings. Additionally, Pantheon serves as a CE-marked, vendor-agnostic digital pathology platform that facilitates the complete digitization of pathology lab workflows and telepathology. It also supports comprehensive report generation and offers a robust platform for AI-driven analysis of whole-slide images in pathology. This technology is particularly adept at distinguishing between a variety of benign conditions and malignant diseases within breast tissue, which is vital for timely and accurate treatment. In doing so, it plays a pivotal role in transforming the landscape of cancer diagnostics.

The integration of artificial intelligence is set to revolutionize the field of healthcare diagnosis. By leveraging AI and predictive analytics, we can achieve early detection of diseases and enhance diagnostic accuracy. Our cloud-based AI platform aims to make healthcare more affordable and accessible for everyone. Endimension Technology, a healthcare AI startup fostered at IIT Bombay, specializes in developing advanced algorithms that identify abnormalities and diseases from medical imaging. Our team comprises experts in machine learning, software engineering, and medical professionals from esteemed institutions. We are dedicated to creating AI-driven healthcare solutions that will significantly minimize the incidence of patient misdiagnosis. Furthermore, our technology is designed to alleviate the workload of radiologists while simultaneously improving the speed at which patients receive their results, ultimately leading to better healthcare outcomes. By harnessing the power of AI, we envision a future where diagnostic processes are more efficient and reliable.

MEDITICE® is an innovative cloud-based platform that offers healthcare professionals advanced diagnostic imaging services, enabling 24/7 online appointment scheduling and effective clinic management within a comprehensive RIS ecosystem. This system significantly enhances accessibility for both referral and self-pay patients, allowing them to receive necessary consultations, diagnoses, and treatments at their preferred time and location. Among its numerous features, MEDITICE® includes patient acquisition pathways, a full e-commerce solution, as well as tools for optimizing staff and location resources. It also provides DICOM MWL, medical reporting, and billing functionalities. Moreover, the platform's schedule creator facilitates efficient organization of workforce schedules, breaks, and holidays, ensuring that top-tier healthcare services can be consistently delivered. Ultimately, MEDITICE® streamlines the entire healthcare process, making it easier for professionals to meet patient needs effectively.

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.

Innovative AI solutions that smoothly integrate with your PACS and radiology processes empower radiologists to streamline their workflows and enhance patient care. As the demand for medical imaging continues to rise, radiologists are often overwhelmed by the sheer volume of data, which can lead to increased reporting errors, elevated workloads, and disorganized processes. By automating repetitive tasks and standard measurements, AI technology assists radiologists in producing high-quality, evidence-based reports. This enhancement not only aids referring doctors and physicians in making well-informed decisions but also fosters a more intuitive workflow, ultimately benefiting patient care. Furthermore, these systems excel at identifying, characterizing, and classifying critical elements with pinpoint accuracy while maintaining the highest image quality and ensuring rapid loading times. Additionally, the inclusion of intelligent suggestions during report template searches, along with the ability to use pre-filled or customizable report templates, greatly improves standardized clinical communication and efficiency in the reporting process. By adopting such advanced tools, radiologists can focus more on patient interactions and less on administrative burdens.

RedBrick AI serves as a rapidly collaborative platform for annotating medical data, specifically designed to assist healthcare AI teams in creating high-quality training datasets across various types of radiological imagery, including CT, MRI, X-ray, Ultrasound, Fluoroscopy, and additional standard imaging techniques. The platform is adept at managing intricate tasks such as multi-series annotation and extensive DICOM studies, thanks to its native compatibility with medical data formats including DICOM and NIfTI. Furthermore, it boasts cutting-edge, user-friendly 2D and 3D web-based annotation tools, complemented by a PACS-like viewer. RedBrick AI supports a wide array of annotation use cases, including instance and semantic segmentation, landmark identification, classification, and ROI measurements, thereby enhancing the speed of annotation processes by as much as 60%. This significant improvement in efficiency can empower healthcare professionals to focus more on patient care rather than on time-consuming data preparation tasks.

ChameleonDR seamlessly integrates with your existing film or CR x-ray system, allowing for straightforward installation over current components. Once in place, it delivers high-definition image quality while significantly reducing radiation exposure by up to 300%, depending on the specific procedure performed. This remarkable performance is achieved through cutting-edge acquisition technologies embedded in a superior HD detector panel, paired with sophisticated image processing capabilities. The A3 image post-processing technology automatically applies a series of advanced algorithms that consider factors such as patient size and density, working together seamlessly like a finely-tuned equalizer enhances the sound of a premium audio setup. As a result, clinicians can expect the highest caliber of imaging, with optimal bone-to-tissue contrast. Radiology technicians will be amazed by the clarity and detail of the images displayed on their new 4K ultra HD touch screen workstations. The difference made by a 15MP image, expertly calibrated, is invaluable for ensuring accurate and confident diagnoses. Furthermore, this innovative system not only enhances image quality but also streamlines workflow efficiency in clinical settings.

The INFINITT Cardiology Suite serves as a comprehensive platform that consolidates all cardiovascular information into a single solution, enhancing the management, analysis, reporting, and submission of images to various data registries. Furthermore, it has received certification from the American College of Cardiology (ACC), confirming that version 1.0.8.1 of the INFINITT Cardiology Suite complies with the NCDR standards for the CathPCI Registry® version 5. This suite functions as an online PACS and reporting tool tailored for cardiology and vascular imaging, as well as EKG and nuclear medicine applications. It can operate independently or integrate seamlessly with INFINITT PACS, thereby unifying data for electronic health records (EHR). Users can customize report templates that are compatible with Dragon Dictation, allowing for flexibility and efficiency. Additionally, the suite offers both basic and advanced measurement tools for echocardiography, non-invasive vascular imaging, EKG, nuclear medicine, and cardiac catheterization studies. It provides sophisticated report generation capabilities, including the automatic population of measurements and interpretations, which significantly reduces transcription expenses and enhances workflow efficiency. This integration leads to improved patient outcomes through timely access to comprehensive data.

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.

Revolutionizing the way heart failure is identified, the EchoGo Heart Failure platform leverages artificial intelligence to enhance precision in detecting HFpEF from echocardiograms. Developed in partnership with the Mayo Clinic, this innovative solution simplifies the detection process, achieving remarkable accuracy from just a single apical 4-chamber view, addressing the challenges that have long hindered identification of this condition. As the first AI-driven platform dedicated to HFpEF detection in echocardiography, Ultromics sets the standard in this field, making it a leader in the use of AI for cardiac imaging. Our advanced technology not only allows for earlier and more efficient identification of heart failure but also aims to improve the overall quality of life for patients. Through our user-friendly and secure cloud-based Software-as-a-Service (SaaS) platform, Ultromics seamlessly integrates with existing echocardiography systems, providing labs with the tools necessary for precise heart failure detection and effective risk stratification. This capability has the potential to significantly lower hospitalization rates related to heart failure, ultimately benefiting healthcare systems and patients alike. As we continue to innovate, our commitment remains to transform cardiac care for the better.

OsiriX is a highly esteemed medical imaging software designed for viewing DICOM (Digital Imaging and Communications in Medicine) files, catering especially to healthcare professionals who require efficient management and analysis of medical images. This versatile platform boasts capabilities for 2D, 3D, and 4D visualization, complemented by sophisticated post-processing tools that enhance diagnostic precision. Its advanced features, including volume rendering and detailed image manipulation, make it a preferred choice among radiologists, clinicians, and researchers worldwide. Available in two versions, OsiriX provides a free (Lite) option alongside a paid (MD) version that includes enhanced functionalities and necessary certifications for clinical application, such as FDA and CE approvals. Additionally, the software's user-friendly interface and robust performance contribute to its widespread adoption in the medical community.

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.

Riverain Technologies has developed ClearRead Xray, a suite of five applications that have received FDA clearance, aimed at improving the speed and precision of interpreting chest X-rays within healthcare settings, all without the need for extra equipment, procedures, or exposure to radiation. This innovative platform utilizes specialized suppression technology to create a clear view of the chest, which significantly aids in the swift and precise identification of cardiothoracic conditions. Among its standout features are the generation of bone-suppressed images that enhance visualization, the ability to spot potential lung cancer nodules, a decrease in the time required to read portable X-rays, automatic comparisons with previous examinations to emphasize changes, and compatibility across various imaging devices and protocols throughout the enterprise. Additionally, the ClearRead Xray Bone Suppress feature notably enhances soft tissue visibility by minimizing the presence of bone structures in digital images, thereby assisting radiologists in uncovering nodules that may have previously gone unnoticed. This comprehensive approach not only boosts diagnostic capabilities but also streamlines workflow in busy medical environments.

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.

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.

AarogyaAI is a software-as-a-service platform that utilizes artificial intelligence to identify drug-resistant tuberculosis (DR-TB) within hours. Our goal is to provide rapid and precise diagnoses of DR-TB, ensuring that patients receive the most effective drug combinations for their treatment without delay. Tuberculosis is responsible for more fatalities annually than AIDS, largely because the 19 available anti-TB medications do not work for all patients, leading to uncertainty among doctors regarding the appropriate treatment options. Consequently, even though tuberculosis is treatable, a delayed diagnosis of drug-resistant forms can result in patients remaining on ineffective medications for as long as seven years. By diagnosing drug-resistant tuberculosis swiftly, we enable prompt and appropriate treatment prescriptions. Patients upload a DNA sequence to our platform, and our advanced machine learning algorithm processes this data to generate a detailed report on drug susceptibility status, allowing healthcare providers to make informed decisions about treatment. This innovative approach not only enhances patient outcomes but also aims to reduce the overall burden of tuberculosis on healthcare systems.

Top-tier medical image management operates efficiently within a HIPAA-compliant framework. Utilizing the industry-leading Mirror medical interface, along with a structured patient chart system and customizable libraries for diagnoses and procedures, Mirror PhotoFile serves as the essential foundation for medical image capture solutions. This system ensures that medical images remain readily available while also integrating robust HIPAA security features. Healthcare institutions rely on Mirror software to fulfill their medical image management requirements. The Mirror consultation application for iPad® merges effective image-based communication with the practicality of a tablet device. Users can access the extensive Mirror database consisting of client images and relevant data from any location within the facility. This connectivity allows clients to explore their options for aesthetic treatments seamlessly. Furthermore, by utilizing a secure, password-protected web portal, clients can privately view their images, proposed treatment plans, and progress updates from the comfort of their homes. This flexibility enhances the overall experience for both clients and healthcare providers.

Healthcare providers can offer optimal treatment when equipped with advanced and user-friendly technology. Enhance your efficiency with our top-tier cardiovascular imaging solution. Drawing from over ten years of experience in streamlining workflows, we focus on improving your practice. Effortlessly identify wall motion abnormalities with our system. Key metrics such as stroke volume, ejection fraction, as well as end-diastolic and end-systolic volumes and masses are automatically displayed. Evaluate intricate cardiovascular structures through both 2D and 3D visualization options, along with a variety of measurement tools. Our solution delivers objective, automated quantitative analysis of myocardial blood flow, achieving expert-level precision without user bias. Additionally, it allows for the visualization and quantification of enhanced fibrosis distribution. In the DICOM images, colored lines indicate corresponding areas in the ADAS 3D image for each slice, facilitating a comprehensive understanding of the patient's condition. By integrating these features, we aim to empower healthcare professionals with the insights needed for informed decision-making.

Volpara Health software is utilized by various facilities, including leading cancer screening centers in the United States, to facilitate the early detection of breast cancer. Mammography technologists depend on this software to enhance the quality of mammograms. Recognized as the most scientifically validated screening tool in the breast health sector, Volpara provides essential evidence at critical moments. It offers access to comprehensive patient data, enabling more accurate assessments of breast cancer risk. Each analyzed image contributes to refining our algorithms for early detection of the disease. Your support is crucial in promoting additional screening or genetic tests for patients. The platform allows for the creation of tailored worklists and reports according to individual preferences. Users can simultaneously view statistics and lists from a single interface, making the process more efficient. Communication can be standardized across patients, referrers, and insurers, ensuring clarity and consistency. Furthermore, it enhances the delivery of result letters by incorporating thumbnail images of mammograms, making the information more engaging and informative. This multifaceted approach ultimately promotes better patient care and outcomes in breast health.

CSAM Picsara serves as a comprehensive image management system that facilitates real-time image capture, storage, and archiving. This innovative solution boosts the precision and quality of image documentation, leading to improved accuracy and care. Many of Sweden's largest hospitals have adopted CSAM Picsara for its user-friendly interface that addresses all aspects of image management within healthcare organizations. Its compatibility with a wide range of medical devices and media types makes it adaptable for various medical fields. Additionally, CSAM Picsara plays a vital role in the seamless sharing of clinical images, which is essential for accurate diagnoses and maintaining complete patient records, thus ensuring high-quality patient care. With this system, patients can transition between healthcare professionals or departments without the risk of their medical information being lost. Moreover, CSAM Picsara enables healthcare providers to effortlessly share extensive digital information, while users can easily store relevant annotations and measurements alongside images or videos within patient files. This functionality not only streamlines workflows but also enhances collaboration among medical teams.

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.

Healthcare Imaging Workflow Wizard. MODALIZER+™ seamlessly transforms images, videos, and documents into the DICOM® Standard while ensuring their secure import into your PACS. Front Desk/Administrative The innovative integration of a paper scanner, DICOM CD Import and Export, along with DICOM connectivity within a user-friendly application, makes MODALIZER+ an indispensable tool for front desk operations during patient admissions, transfers, and discharges. Embrace the efficiency of MODALIZER+. PACS Administrators Designed after extensive experience in PACS and DICOM, MODALIZER+ boasts features tailored for daily administrative needs, including study searches, retrievals, DICOM header displays, and the ability to duplicate or edit DICOM files, among other essential functionalities. For the reading doctor Enhance your reporting process with MODALIZER+’s Auto-filled Formatted Reports, which allow for a polished presentation of your diagnosis reports, incorporating your logo, graphic design, and personalized layouts, ensuring that your findings stand out professionally. With MODALIZER+, streamline your workflow for greater accuracy and efficiency.

The integrated mammography viewer allows for ergonomic reading of a diverse range of breast imaging studies alongside other specialty examinations, all conveniently located in one interface. By streamlining workflows, it facilitates quicker reading in high-volume settings, resulting in increased patient throughput. The incorporation of Artificial Intelligence enhances physician efficiency, reduces false negatives in cancer detection, and contributes to the quality assurance of imaging results. A holistic telemammography solution serves as a vital link to expanding access to breast expertise, ultimately leading to improved diagnostic accuracy and patient outcomes. The NovaMG PRO can function as an independent workstation compatible with any PACS or mammography technology. Additionally, the breast care workflow module is included within NovaPACS EI, and current users can activate it in just a few minutes, enhancing their existing systems. This integration not only simplifies the process but also empowers healthcare professionals to deliver better care to patients.

CADU, a cloud-enabled AI solution created by Odin Vision, is designed to aid in identifying and characterizing dysplasia in individuals with Barrett’s oesophagus during gastroscopy. The system evaluates areas that visually resemble Barrett’s oesophagus and offers insights to help clinicians determine whether the tissue is dysplastic or non-dysplastic. By improving the decision-making process for endoscopists and expediting the examination of the oesophagus, CADU proves to be both time-efficient and cost-effective. Additionally, it functions on a platform that is vendor-neutral, facilitating its use with various endoscopic equipment. The system is CE marked and holds UKCA approval; however, it is not available for commercial sale in the United States. CADU has been adopted in clinical environments, including University College London Hospitals, aiming to enhance the detection of early oesophageal cancer, which can often be difficult to identify due to the subtle nature of initial lesions. Its implementation represents a significant advancement in the early diagnosis of this serious condition, highlighting the importance of technology in modern medicine.

By examining up to three images for each study, including both frontal and lateral perspectives, healthcare professionals can enhance their diagnostic capabilities through the correlation of observations from varied angles. The creation of Annalise CXR’s extensive ontology tree was guided by clinical insights, aimed at curating a thorough list of findings deemed essential and beneficial for medical practitioners. Designed by clinicians with a keen awareness of the need for uninterrupted workflow, Annalise CXR’s adaptable user interface integrates smoothly with existing PACS and RIS systems. Clinicians can confidently start using Annalise CXR in less than ten minutes, significantly reducing the learning curve. Furthermore, the confidence bar feature indicates the probability of a finding and the associated uncertainty of the AI model, empowering clinicians to interpret results with greater assurance. This innovative approach not only streamlines the diagnostic process but also enhances overall clinical decision-making.

Brainlab's Elements Spine Stereotactic Radiosurgery (SRS) represents a cutting-edge software solution aimed at refining the management of spinal metastases. This innovative workflow features automation at each phase, encompassing anatomical mapping, curvature adjustments, and target identification, which guarantees precision and uniformity down to submillimetric levels. A distinctive algorithm addresses variations in spinal curvature, thereby improving the accuracy of image fusion. The software employs automatic segmentation of spinal anatomy through a patented synthetic tissue model that effectively identifies and labels different spine levels for accurate dose calculations. Tools for outlining spinal tumors are included for Gross Tumor Volume (GTV) contouring, along with automatic suggestions for the Clinical Target Volume (CTV) and a cropped spinal canal object in alignment with International Spine Consortium Guidelines. Furthermore, the integration of AI-driven contouring solutions allows for the swift and dependable delineation of over 200 structures, including lymph nodes. This advancement not only streamlines the treatment process but also enhances overall patient outcomes in spinal cancer management.

Brainlab's Elements Cranial Stereotactic Radiosurgery (SRS) represents a cutting-edge software tool aimed at simplifying the intricate planning involved in cranial surgeries, including procedures for arteriovenous malformations, pituitary adenomas, and vestibular schwannomas. This workflow incorporates automation throughout each phase, encompassing image fusion, distortion correction, object outlining, and segmentation, which collectively ensure remarkable accuracy and reliability at a submillimeter level. A standout feature is the patented 4Pi arc setup optimization, which, when paired with a volumetric modulated arc therapy algorithm tailored for radiosurgery, results in superior plan quality by delivering precisely targeted doses while sparing vital surrounding structures. The software further provides distinctive 3D visualizations and reliable dosimetric outputs, significantly improving the precision and efficiency of treatment planning. Moreover, Elements SmartBrush facilitates swift and straightforward 3D target outlining, enabling users to define volumes efficiently using only two slices, thus enhancing overall workflow productivity. This innovative approach not only streamlines the planning process but also enhances the accuracy of treatment delivery in complex cases.