Alternatives to Owkin

Diagnosis refers to the process of determining what disease or condition is causing a person's symptoms and test results. DDxHub – Differential diagnosis Hub is a system that distinguishes a specific disease or condition from others with similar symptoms and lab results. DDxHub is a concentrator which holds a lot disease descriptions. DDxHub can be useful when you are trying to find the right diagnosis by comparing multiple diagnoses. You can upload your own disease definition to DDxHub repository, and then share it with other DDxHub users worldwide. You will receive disorder descriptions from other DDxHub users in return. Join thousands of healthcare professionals and patients who already love DDxHub’s differential diagnosis, sync, disorders description sharing solution. DDxHub can be used by medical students in clinical therapeutics as an educational resource.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

Artificial intelligence transforms healthcare diagnosis Predictive analytics and AI are used to detect early-stage diseases and provide accurate diagnosis. Cloud-enabled AI platform to provide affordable and accessible healthcare. Endimension Technology, a startup in healthcare artificial intelligence, was founded at IIT Bombay. AI algorithms are developed to automatically detect abnormalities in medical scans and diagnose diseases. The founding team includes machine learning researchers, software engineers, and medical doctors from well-respected institutions. Our mission is to develop healthcare AI technology products that reduce misdiagnosis. AI to reduce the workload of radiologists Improve patient turnaround time

We are introducing a new era in predictive analytics, starting with healthcare data management, machine-learning tools and custom-built applications for the healthcare industry. Lumiata's superior cost- and risk prediction are designed with healthcare delivery and business in mind. They are revolutionizing the way risk and care are managed across the wider healthcare industry. Lumiata covers everything, from underwriting to care management to pharmaceuticals. Our applications and data science tools allow for a flexible partnership with payers, providers, digital healthcare companies, and other stakeholders. You have reached the end of the tunnel. Equip your data science teams the ML productivity tools that they need. Our proprietary data preparation and cleansing process allows raw data to be ingested and cleansed before being organized into a consumable format that is ready for machine learning.

Altis Labs launches Nota, a clinical information platform that accelerates R&D for therapeutics. AI predicts patient outcomes based on imaging data, so sponsors can prioritize their most promising treatments. Nota allows researchers to access imaging biomarkers and speed up R&D by operationalizing clinical trial imaging data. Altis' cloud software platform powered with deep learning allows biopharma to incorporate comprehensive outcomes predictions at the image level, patient level, and cohort-level in order to improve clinical trial designs and better anticipate clinical endpoints. These insights can accelerate drug development timelines and lower costs, while increasing the likelihood of success in clinical trials across therapeutic areas.

We are an artificial intelligence-enabled SaaS which diagnoses drug-resistant tuberculosis within a matter of hours. AarogyaAI aims at diagnosing drug-resistant tuberculosis using Artificial Intelligence within a few hours. We allow rapid and accurate diagnosis of DRTB so that patients can be prescribed the most effective drug combinations. Tuberculosis kills more people each year than AIDS. Because there are 19 anti-TB medications available, doctors don’t always know which one will work for whom. Even though tuberculosis may be curable, patients who are not diagnosed in time can end up on ineffective treatment for up to seven years. AarogyaAI is able to diagnose drug-resistant tuberculosis within a few hours, so that patients can be prescribed effective treatment immediately. Our SaaS uploads the patient's DNA sequence. The machine learning algorithm generates an output report that shows a complete drug susceptibility status.

Traditional evidence generation methods are expensive, complex, and take too long to generate. This prevents agile research and the wider utilization of authentic patient insights in treatment development and commercial pipelines. Our HyperStream is the largest real-time data stream of patient experience on earth. It records the real-world digital history and symptoms of diseases as they are shared online by authentic patients. Pharos, a web-based evidence generator tool and research framework, uses its integrated data streaming technology and AI capabilities to efficiently capture online patients experience data and enables teams and individuals to quickly find evidence when they need it. The Pharos Suite has been successfully used to generate evidence and patient insight in multiple therapeutic areas and diseases.

Infervision, a leading AI-based medical technology company founded in 2016, focuses on improving multidisciplinary operations and services with AI. Infervision offers cutting-edge AI solutions that help medical professionals in a variety of areas, including disease screening, diagnosis, intervention and treatment, medical research, and patient management. They offer a range of AI-enabled solutions, including InferRead CT Lung, which detects lung nodules from chest CT. InferRead DR chest, which detects chest abnormalities in chest X-rays. InferRead CT Stroke, for triaging hemorrhage in brain CT. InferRead CT Bone, for identifying fractures in chest CT.

We are a biotechnology company in clinical stage. We decode biology by integrating technological innovations across biology and chemistry to industrialize drug discovery. CRISPR genome editing and synthetic Biology allow for greater control over biology. Advanced robotics allows for reliable automation of complex laboratory research on an unprecedented scale. Neural network architectures allow for iterative analysis and inference from large, complex, in-house data sets. Cloud solutions increase the flexibility of high-performance computation. To build a next-generation biopharmaceutical business, we are using new technology to create virtuous learning cycles around datasets. A synchronized combination hardware, software, and data that is used to industrialize drug discovery. Redefining the traditional drug discovery process. One of the most extensive, broadest, and deepest pipelines in any technology-enabled drug company.

Clinithink, a leading healthcare tech company, specializes in artificial intelligence solutions which transform unstructured medical information into actionable insights. Our patented CLiX Platform uses Clinical Natural Language Processing to interpret complex clinical narratives. This allows healthcare organizations to improve patient care and operational efficiency. Clinithink provides tailored solutions for life sciences, revenue-cycle management, and population healthcare, addressing issues such as patient cohort tracking, reimbursement optimization, or disease progression tracking. Clinithink has gained the trust of leading pharmaceutical and healthcare companies around the world with its innovative technology, placing it at forefront in digital health and healthcare AI advancements. CLiX can understand a large number of unique clinical concepts, such as certainty, severity and laterality.

Our global data-sharing networks generate clinically actionable insights to improve patient outcomes globally. SOPHiA GENETICS is on a mission to build the future in AI-assisted medical care. We are integrating multimodal data from healthcare-omics, unlocking existing data silos and developing machine learning models in order to produce actionable insight that can eventually support healthcare professionals improve patient outcomes. The new interface, features, and cutting edge capabilities will accelerate precision medicine workflows and bring us closer to democratizing the data-driven medicine.

Our AI products are designed for healthcare professionals to help them at critical moments in their medical journey. We enable seamless workflow optimization throughout the care continuum, including preventive screenings, early detection and emergency care. Our AI is built in collaboration with top healthcare professionals and training algorithms that process unprecedented amounts of data. Our solutions are backed by deep data science research to anticipate your care needs and assist you in limited circumstances. Our AI solutions can be deployed wherever and whenever needed. They are compatible with any device and can integrate with existing technological infrastructure. We offer easy deployment and scaling, as well as industry-certified data security. Our team is here to help you at every stage of your AI journey.

RetinAI's software discovery platform is used by healthcare professionals and pharmaceutical companies to manage their data and gain enhanced insights through automatic AI analysis. It also supercharges clinical and research workflows. A single data platform that allows you to access and manage your data from anywhere at any time. Compatible formats include DICOM compliant and proprietary formats. AI is used to harmonize, organize, aggregate & analyze data at scale in order to extract insights into disease progression, treatment outcome & progression prediction. Secure cloud-based data access allows for collaborative research across your organization. The central hub for data, digital, and medical teams. Perform AI-based analyses on your OCT volume for layer and fluid segmentation. Centralize your insights and provide immediate evaluation in a single platform. Invite collaborators instantly to access and work on datasets with different levels of permission.

Zebra's Imaging Analytics Engine automatically analyzes images from different modalities for clinical findings. It does this in a timely fashion and in full synergy to radiology workflow. Zebra-Med alerts providers of patients at high risk for cardiovascular, lung, bone, and other diseases. This allows for preventative care programs, proper risk adjustment and allocation, as also conformance to quality standards like MACRA. Zebra-Med allows for the right patient to be seen at the right time, saving money and improving care.

WRDensity aids radiologists in interpreting breast densities to ensure uniform density assessments at the practice level. Its goal is to aid in early detection1 and give patients peace of mind through consistency, confidence, quality, and care. WRDensity was trained with deep learning based upon over 600,000 images taken by Mallinckrodt Institute of Radiology. This is one of the most respected radiology research institutes in the world. WRDensity's powerful deep-learning model is able to accurately classify breast density. The batching and sorting feature of WRDensity can increase productivity by up to 20% for users. WRDensity can be accessed within the existing workstation of radiologist, making relevant information about tissue density available in context.

ConcertAI is the leading provider of AI solutions for the healthcare industry. They specialize in oncology. Their mission is to improve patient outcomes by accelerating insights using real-world data and AI technologies. ConcertAI provides a range of products and services that are designed to improve clinical research and patient care. Their Real-World Data Products offer comprehensive, fit-for-purpose data sets that support a wide range of research needs within the enterprise. The digital trial solution streamlines the clinical trial process, while the Clinical Trial Optimization platform (CTO) uses large-scale AI for trial design and execution. ConcertAI, in collaboration with NeoGenomics has developed CTO - H, a SaaS offering advanced research analytics, and operational optimization, for hematological malignancies.

BIOiSIMTM, a revolutionary 'virtual drug engine', is the first-in-class tool that allows drug developers to narrow down the number drugs that have potential value in treating or curing specific diseases or illnesses. We offer a variety of translational-based solutions that can be customized for your clinical and pre-clinical programs. All of these solutions are based on our BIOiSIMTM platform, which is a proven and validated platform for small molecules, large molecule, and viruses. Our models are built using data from thousands upon thousands of compounds across seven species, which gives them a robustness that is rare in the industry. The platform is focused on human outcomes and has at its core a translatability tool that transforms insights across species. The BIOiSIMTM platform is available before preclinical animal trials begin, which allows for earlier insights and saves on expensive outsourced experimentation.

Use AI to accelerate the journey from bench-research and laboratory insights to life-changing therapies. Reduce your reading time to minutes and gain up to 90% more research productivity. With a high-precision and high-accuracy research, you can cut through the noise to navigate the ever-growing amount of scientific literature. Save time, reduce bias, and increase the odds of discovering novel things. Explore disease biology in depth and discover advanced targets. Causaly’s high-precision graph of knowledge consolidates evidence from millions publications, allowing for unbiased, deep scientific exploration. You can navigate cause-and effect relationships in biology without being an expert. Discover hidden connections by viewing all scientific documents. Causaly’s powerful AI machine is able to read millions of published biomedical publications in order to support better research and decision-making.

Tempus AI, a leading health-technology company headquartered in Chicago Illinois, is a leader in the field. Tempus AI, a company specializing in artificial intelligence (AI) and precision medicine, aims to revolutionize the patient care industry by leveraging AI and data to develop personalized treatment plans for various medical fields including oncology. The comprehensive platform of the company integrates genomics, clinical data and AI-driven analytics in order to provide actionable insight for healthcare providers and scientists. We provide a comprehensive picture of your patients with our tissue and fluid tests, DNA andRNA sequencing, somatic tests and germline tests. We provide a fast and reliable platform to order Tempus tests, gain access to patient insights, and utilize our AI-driven technology seamlessly. The first AI-enabled clinical Assistant that puts patient insights at your fingertips.

OM1 leverages AI and big clinical data to significantly improve research efficiency and clinical decision making through high-performance predictive models. OM1 Patient Finder integrates cutting-edge AI technology with the OM1 Real-World Data Cloud. It uses a variety of data sources to help identify patients most likely to have the target condition. Our intelligent data cloud allows healthcare stakeholders to access, analyze, and use outcome data in a more robust and clinically meaningful way. Access high-quality research-grade information about safety, effectiveness, and value quickly, accurately, and at a lower cost. Quantify outcomes and show value in risk-sharing or outcomes-based payment models

Accuracy, speed, confidence. Introduce generative AI in commercial biopharma. Simplify the laborious process of collecting, organizing and inspecting vast quantities of complex data. You can always rely on 100% accuracy to get the insights you need. You'll never again lose track of your workflows with our AI-powered data verification and manipulation platform. All in one place, you can gather, refine and check all your data. Search public and private databases based on key drug characteristics. Segment drugs and clinical trials based on detailed patient profiles. You can extract the data in plain English. Link your answers to their original source. Spend your time and effort on synthesising high-quality outputs rather than sifting through data. Our LLMs allow researchers to scan assets 4.8x faster by hand. We index more than 38M scientific publications and abstracts from conferences, clinical trials, and other sources. All the data that you need, at the time you need it.

Amazon Comprehend is a HIPAA-eligible, natural language processing (NLP), service that uses machine-learning to extract health data form medical text. No machine learning experience is necessary. Today, a lot of health data is found in free-form medical texts like doctor's notes, clinical trials reports, and patient records. Manually extracting data can be time-consuming and automated rule-based attempts at extracting data won't capture the whole story because they don't take context into consideration. The data is not usable for large-scale analytics that will help improve the healthcare and life sciences industry, patient outcomes, and increase efficiencies.

Many decisions regarding cancer care are uncertain. Current tools are not helpful for the majority of patients. This is leading to unnecessary deaths and wasted money. We are a multidisciplinary team of computer scientists and oncologists who help to tackle the most pressing issues in cancer care using AI. We are developing clinical-grade deep learning to analyze each patient's unique characteristics and provide clarity to the oncologists during decision-making. Our AI was developed with oncologists at our center and provides actionable and interpretable insights. We collaborate with top academic medical centers as well as community oncologists to address clinically important questions.

AIMedInfo is a cutting-edge, fully integrated global medical information system that uses AI to improve productivity and engagement in medical affairs. This cloud-based platform uses sophisticated AI and machine learning to quickly, securely, accurately process medical data, providing instantaneous access to data and opportunities for continuous learning. AIMedInfo provides multi-channel support to handle medical information, including AI-enabled bots and live chat agents, to answer healthcare professionals (HCPs) or patients' questions 24/7. The platform integrates data from standard responses, prescribing and other sources to ensure comprehensive and compliant support for medical information. AIMedInfo also captures key insights on HCP and patient behavior, including sentiment analysis, interaction frequency, and identification of possible adverse events.

Through decades of collaboration with thought leaders, we have made significant progress in tissue data mining tools, precision and workflow. Learn more about image analysis and tissue mining in multi- and highplexed photos, mine your data to find clinically relevant patterns that lead you to disease insight, transform your research tissue images into information. Learn more about image analysis CE/IVD APPs and workflows. And shift the paradigm of standardization with AI-driven pathology products that provide diagnostic decision support. Our app center provides access to a wide range of AI-based apps, as well as APPs that can scale to your needs. Explore our collection of publications, guides and webinars to learn more about digital pathology.

Augnito combines Speech Recognition AI power with mobility. With best-in-class accuracy, Augnito allows you to edit, format, or complete reports at the speed and ease of human speech. You can now access your personal templates and short forms from any computer, whether you're at work, at home, or on the road. This program is best suited for those who need to create detailed reports, such as radiology, histopathology, and surgical notes. You can also dictate your reports from anywhere around the world. Augnito can recognize different accents and pronunciations without any profile training. Augnito is built with the most advanced deep learning technology and has the entire language for medicine that covers 50+ sub-specialties and all the popular generic and drug names.

The revolutionary Soliton®, AI, empowers healthcare. Soliton®, built on 30,000 machine learning and evidence-based rules, automates your healthcare and care management tasks. Soliton®, gives you the edge in the value-based healthcare world with unmatched capabilities. Analyzes large amounts of patient data in real time to improve clinical and financial performance. Multiple APMs supported. Telehealth adds value by predicting billable codes during patient encounters. Multiple risk stratification models can help you predict future healthcare costs for your patients. Real-time clinical decision support that helps you manage complex patient populations. AI-enhanced care coordination streamlines the patient journey and care, from the acute to post-acute environments. Identify care gaps, code and service opportunities, generate patient-specific assessments and personalized care plans and build custom cohorts.

Genospace understands that genomics is driving precision medicine development, but scaling its delivery remains a challenge. We are here to help. Our platform makes biomedical data meaningful, accessible and easy to use for everyone, especially those at the frontlines of care delivery. Your clinicians and researchers will have the information they need in order to make informed decisions. Join us in our mission to leverage high-dimensional molecular data to improve patient outcomes and accelerate drug discovery and research. For drug development and research, large-scale population data is essential. Genospace platform allows you to conduct cohort-driven analyses that will inform your research activities. We are experts in clinical trial research. Genospace allows you to quickly accrue patients by matching fragmented patient data with complex trial criteria. The Genospace platform enables you to integrate genomic medicine into your mainstream clinical care.

At Enlitic, we believe that the power of artificial intelligence can transform healthcare by enabling effective data management and improving clinical workflows. Our mission at Enlitic is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity and improve clinical workflows and create a foundation for a real-world evidence medical image database for healthcare providers. Through our Enlitic Framework, we aim to reimagine healthcare intelligence, enabling healthcare professionals to make informed decisions and provide personalized care to every patient.

SquareML is an advanced machine learning platform that does not require any coding. It was designed to make predictive modeling and advanced data analytics more accessible to everyone, especially in the healthcare industry. It allows users to harness machine-learning capabilities without extensive coding expertise, regardless of their technical expertise. The platform is specialized in data ingestion, including electronic health records and claims databases. It also includes medical devices and health information exchanges. The platform's key features include a data science lifecycle that requires no coding, generative AI for healthcare, unstructured conversion of data, diverse machine learning algorithms for predicting disease progression and patient outcomes, a library with pre-built models, and seamless integration to various healthcare data sources. SquareML's AI-powered insights are designed to streamline data processes, improve diagnostic accuracy, and improve the outcomes of patient care.

Deliver personalized patient care using the only objective, quantitative, and histologically validated arterial analysis software based on CTA. Use ground-truth histology in order to visualize the cause of myocardial ischaemia and to inform heart attack and stroke risks. Undiagnosed, untreated non-obstructive but unstable plaques in the arteries are the primary cause of heart attack and stroke. Current non-invasive tests cannot visualize the biology deep within artery walls, where heart disease develops. Elucid uses artificial intelligence and scientific imaging to provide noninvasive, quick diagnoses of cardiovascular disease and precise treatment. This will improve patient outcomes. Assess plaque composition using histology-validated computer software. With greater accuracy, quantify heart attack and stroke risks. Visualize a comprehensive, objective view of arterial diseases to enable personalized treatment before a patient enters the hospital.

Cardiovascular diseases claim the lives of over 20 million people each year. Early detection could prevent many of these deaths. The global healthcare system is overloaded and human capacity for detailed analyses is limited. AIATELLA is here to help. Our AI-powered image analytics solution has revolutionized the world of cardiovascular diagnostics. By automating manual measurements in a quantified manner and using historical data we reduce the time, costs, and expertise required, allowing us to significantly expand the capacity of critical imaging. AIATELLA’s solution improves diagnostic speed, accuracy and precision, delivering measurements, disease-progression analyses and other information in seconds, instead of hours. By improving the accuracy, speed, and variability of the analysis, we enable doctors to spend more quality time with their patients, enabling preventative and personalized medicine.

Cleerly, a digital healthcare company, is changing the way that clinicians approach heart disease treatment. We create intelligent clinical technologies that help clinicians identify and define atherosclerosis sooner, so they can provide personalized, vital treatment plans for all patients. Atherosclerosis is plaque buildup in the heart's vessels. We do not use indirect markers like risk factors or symptoms to diagnose the disease. Our AI-enabled digital healthcare pathway makes it easier, faster, and more accurate to diagnose and report heart disease. This improves overall clinical and financial outcomes. Cleerly empowers providers by analyzing, characterizing and quantifying plaque types. This allows them to more accurately determine the risk of heart attacks and to develop a treatment plan for improving heart health.

Medical AI is an effective technology solution for chronic diseases. This technology is characterized by its ability to predict and generate the best actions. It also presents the outputs with an easy-to consume user experience. DeLorean Medical AI enhances human capabilities, and creates a world where we can both trust the machine and human to make the right decisions. Our technology has shown to improve outcomes, and is the first AI that has been biologically validated by third-party clinical testing. Medical AI can help diagnose and detect diseases earlier by predicting disease states, assigning risk and classifying patient populations. It can reduce costs. It has been installed by 10+ clients and has shown both cost reductions as well as savings.

Gesund, the first compliant AI factory in the world, is on a mission of bringing clinical-grade AI solutions onto the market. Our platform audits and verifies 3rd-party medical AI solutions to ensure they are safe, effective, and equitable. This helps us comply with regulatory requirements. Gesund orchestrates all aspects of the AI/ML lifecycle by bringing together models, data and experts in a no code environment. Standardized, unified and diversified data tailored to your ML requirements and regulatory requirements. Gesund.ai evaluates model validation requirements and provides a mix of high-quality, diverse data from its clinical partner sites. Model owner uploads model to Gesund.ai federated validation platform which is located on hospital premises or private cloud. The model is run against a validation data set that was curated by the hospital.

Chat with a medical AI that provides answers, cites sources, updates medical knowledge every day, and allows you to add and select knowledge bases. Pre-train the model using 2,300+ reference datasets that have been curated by medical domain specialists. These include hundreds of terminologies and data on medical research, clinical trial, patents and population health. Indexing of multiple sources for medical research and data. Updates daily on new medical results, clinical trial, and terminologies. Prepared to process millions or even billions of documents. Scale the cluster according to your needs. A medical chatbot uses conversational AI, such as natural language processing, to interact with users, and provide them with information, advice or support. They can be used in a variety of ways. Answer general medical questions regarding diseases, health conditions and treatment options.

DrugCard, an AI-enabled platform for data intelligence, is designed to streamline pharmacovigilance by automating the screening of local literature. The platform monitors over 1,000 local medical journals in 55+ countries and supports more than 100 languages, ensuring a continuous, regular and transparent monitoring. DrugCard automates routine tasks to allow Contract Research Organizations to manage more pharmacovigilance and improve screening results. Marketing Authorization Holders can conduct in-house literature reviews more effectively. And freelancers can save up to 70 percent of their time to perform other value-adding work. The platform is designed for new markets and to be cost-effective. It also complies with regulatory requirements.

BrainSightAI, a health technology company, uses artificial intelligence and machine-learning to revolutionize brain mapping by generating personalized maps using AI-based connectomics. Our VoxelBox product uses AI-based connectomics in order to generate personalized brain mapping. These tools are designed to improve pre-surgical planning for patients with brain tumours and other neurological conditions. BrainSightAI works with leading hospitals across the country to conduct clinical studies on a variety of brain-based disorders. These include Alzheimer's, brain tumors and psychiatric disorders. Our mission is to improve lives and advance brain science by providing cutting-edge tools to understand the human brain.

Our platform is regulatory compliant and allows clinical research to be done by analyzing unstructured EMR data in order to identify life-threatening conditions. We develop technologies that increase access to the most innovative healthcare through clinical trials. Our team is focused on saving lives and providing access to new healthcare therapeutic innovations that are still being investigated. We believe every patient should be informed about their options to participate in clinical trials that could offer therapies that significantly save or improve their lives. We are an AI-based healthcare research company that has developed a platform that uses computational technology to identify patients who meet a complex set criteria and allows them to participate in clinical trials.

Waveform AI is a powerful tool that can improve the healthcare system in many ways. We are building a platform to provide clinicians with valuable information and support throughout the care continuum. It takes a village to transform healthcare. We are publishing peer-reviewed AI research to show how AI can benefit every step of the patient's care journey. Providers can help identify patients at high risk of sleep apnea by using data from EMRs, waveforms and wearables. Refer patients to a specialist for diagnosis. Providers can use data to identify the most important patients in the vast undiagnosed population. Patients can be stratified by risk and cost. By optimizing the quality, cost, efficiency, and speed of sleep apnea diagnosis, clinicians can help patients get through the diagnostic process.

WellAI for Medical Providers - The First Integrated AI Patient Engagement/Digital Front Doors Application with Front Office Optimization One of the first AI/Natural Language Processing Patient Engagement Platforms/Digital Front Door solutions. It offers configurable technology-enabled services that can be integrated with front office workflows, driving efficiency and real-time patient care. Why WellAI's solution: 1. The Digital Health Virtual Triage Assistant has an 83% accuracy rate compared to the 50%-77% accuracy of other'symptom checkers' 2. We offer built-in telehealth and can integrate existing telehealth solutions. This reduces cost and improves engagement 3. WellAI supports 'technology enabled service' in a configurable manner for patients and creates automation for healthcare's front-office workflow. 4. It can be configured in any way you like. 5. It can be integrated with many EMR solutions. 6. It allows practitioners to communicate with each other via email and text.

Collaboration between doctors, scientists, cancer centers, patients and physicians is key to improving the quality of cancer care and outcomes. Oncora's intuitive platform software allows all stakeholders to collect and apply real-world data to all healthcare-related decisions for the benefit of patients. Our products are designed for healthcare professionals who want to improve the outcomes of cancer patients. Intelligent patient care software simplifies workflow, reduces documentation burden, optimizes treatment, and improves outcomes. With intuitive and dynamic software tools, you can capture and visualize real-world data that is of regulatory quality. Advanced reporting tools allow you to measure quality and streamline operations in order to improve patient care. Experts in cancer care conduct rigorous clinical research. Web-based software that empowers your cancer center. Data and software to speed up clinical discoveries.

VIPER automates screening from remote patient identification (at point of diagnosis) through to qualified enrollment. VIPER uses artificial intelligence to match patients to precision trials within a narrow window of opportunity. This is done through the ingestion of lab-agnostic genomic and pathology data. It is tailored to the patient and the researcher. VIPER searches the personalized matching engine to locate the best clinical trials available for a patient's specific diagnosis--at that time. VIPER integrates workflow to send real-time notifications to the entire care team about a patient's eligibility in available clinical trials. This is done within a very limited enrollment window. VIPER provides interactive dashboards that allow you to access real-time data mining capabilities to aggregate patient data from both study and site levels to help you reach your study KPIs.

It is possible to quickly diagnose cancer accurately and affordably. One in three people will develop cancer during their lifetime. Cancer diagnosis can be slow and costly because doctors don't have the latest automated tools. Qritive is an AI-powered tool that allows doctors to analyse both microscopy images as well as text from patient data. Hospitals will be able to diagnose cancer more efficiently and save money by using Qritive. Pantheon, a CE-marked vendor-agnostic digital platform for pathology, enables digitization and rich report generation, and allows for AI analysis of whole-slide images. It can distinguish between benign and malignancies in breast tissue.

MedGeo, a health MedGEO, connects healthcare providers and patients using clinician-developed digital technology. Startup that works directly with industry representatives, administrators and providers to develop software applications that optimize clinical workflows. MedGEO was built on the expertise of global health, medical, and surgical professionals. We bring decades of first-hand knowledge from over 100 countries to the field. Modern hospital corridors are crowded, filled with computers and hardware, and covered with wires. They represent a patchwork system that is often unable to communicate. Staff spend more time interacting with computers than patients, and clinicians spend a lot more time entering data rather than providing care. MedGEO optimizes workflows to benefit clinicians, healthcare administrators and pharmaceutical companies.

Google Cloud's Medical Imaging Suite was designed to help organizations transform their imaging diagnostics through making imaging data more accessible, interoperable and useful. The suite provides a compliant, secure, fully managed service to manage healthcare data in DICOM, FHIR and HL7v2 formats, as well unstructured natural language text. Cloud computing makes it easier and cheaper to store and share large libraries that contain medical images. Cloud Healthcare API allows for the reading of DICOM instances, series, and studies that adhere to the DICOMweb standard. The suite also accelerates research, transforms patient experience, and offers solutions for data storage and analysis. It also explains concepts, best practices, and how to integrate a third-party medical image viewer with the Cloud Healthcare API.

DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking. Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system. Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit. With DeepScribe’s easy to use, efficient, and powerful AI scribe, clinicians can bring the joy of care back to medicine.

InformAI is a healthcare company that focuses on AI solutions for medical diagnosis at the point of care and improving radiologist productivity. The Texas Medical Center is the largest medical center complex in the world. We developed our AI-enabled image classifications and patient outcome predictors. InformAI, along with its partners, is changing the way healthcare is delivered. InformAI partners with leading medical imaging companies, national physician groups, and renowned healthcare organizations to create solutions that improve patient outcomes. Our team includes leaders in healthcare, medicine, and artificial intelligence. InformAI Sinus Image Classifier was built using a 3D convolutional neural net (CNN), which is trained on radiology-validated 3D CT scan image libraries that contain 6 million images.

Microsoft Cloud for Healthcare delivers innovative solutions that empower healthcare providers, insurers, and life sciences organizations to enhance patient care and operational performance. The platform utilizes AI and data analytics to improve clinical workflows, safeguard patient data, and create more connected, personalized experiences for patients. By integrating both clinical and operational data, it allows organizations to gain actionable insights, reduce costs, and improve care management. Additionally, the platform accelerates research and discovery, supporting advancements in healthcare innovation and efficiency.