Alternatives to Amazon Comprehend Medical
Compare Amazon Comprehend Medical alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Amazon Comprehend Medical in 2026. Compare features, ratings, user reviews, pricing, and more from Amazon Comprehend Medical competitors and alternatives in order to make an informed decision for your business.
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Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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PrecisionOCR
LifeOmic
PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR). PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document. Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records. Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.Starting Price: $0.50/Page -
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S10.AI
S10.AI
A fully autonomous, AI-enabled medical scribe with improved CDI scribing abilities, S10.AI's S10 Robot Medical Scribe lessens the burden of clinical documentation. It delivers quick documentation and integrates with all EHR types. It is based on the patent-pending technology Intelligent Physician Knowledge Orchestrator. The documentation burden will be lessened thanks to S10.AI, giving you more time to see patients. S10.AI stands apart because of: 1. Its accuracy rate for speech-to-text is 99%. 2. Within five minutes, there is immediate documentation. 3. The robot scribe service is accessible both online and offline, around-the-clock. 4. It's 100% automatic EHR data entry is not integrated 5. Highest level of security HIPAA compliant. Utilizing S10.AI allows you to earn more money while spending less on another scribing, transcription, or dictation services.Starting Price: $100/month -
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ClinicalWave.ai
Cloudbyz
ClinicalWave.ai built on AWS cloud platform is an integrated AI platform tailored for life sciences organizations. It offers automated redaction and extraction of sensitive data and leverages cutting-edge NLP technology to extract valuable insights from clinical documents, streamlining your workflows like never before. It consists of: 1. ClinRedact AI- Our Redaction product which automatically identifies and redacts sensitive information in clinical documents, saving time and ensuring data integrity. 2. ClinExtract AI- The AI Data Extraction product that utilizes NLP and machine learning to extract relevant data points from clinical documents, providing valuable insights and streamlining workflows. 3. ClinDICOM AI- Experience the power of our feature-rich DICOM data extraction and redaction product offering targeted redaction, customizable rules, intelligent contextual analysis, audit trail compliance, redaction preview, and a user-friendly interface. -
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DeepScribe
DeepScribe
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. -
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Claude for Healthcare
Anthropic
Claude for Healthcare is a HIPAA-ready AI platform built on Anthropic’s advanced Claude models that helps healthcare organizations move faster without sacrificing safety, accuracy, or compliance by connecting to trusted medical, payer, and clinical data sources. It enables use cases such as prior authorization review, insurance claims appeals, clinical documentation generation, patient message triage, care coordination, and other administrative workflows by validating provider credentials, medical codes, coverage requirements, and drafting recommendations or summaries with traceable sources for verification. Claude can integrate with industry standards and databases, including CMS coverage policies, ICD-10 codes, provider registries, and PubMed, and supports secure connection to personal health records (e.g., lab results and medical histories) with user consent so patients or clinicians can get plain-language summaries and insights.Starting Price: $17 per month -
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Amazon Textract
Amazon
Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours. -
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Azure Text Analytics
Microsoft
Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health. -
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Clinithink
Clinithink
Clinithink is a leading healthcare technology company specializing in artificial intelligence solutions that transform unstructured medical data into actionable insights. Our patented CLiX platform utilizes Clinical Natural Language Processing (CNLP) to interpret complex clinical narratives, enabling healthcare organizations to enhance patient care and operational efficiency. Clinithink offers tailored solutions across life sciences, revenue cycle management, and population health, addressing challenges such as patient cohort identification, reimbursement optimization, and disease progression tracking. Clinithink's innovative technology has garnered trust from leading pharmaceutical and healthcare organizations worldwide, positioning it at the forefront of healthcare AI and digital health advancements. CLiX is capable of understanding a vast quantity of unique and detailed clinical concepts such as; certainty, severity, laterality, and temporality. -
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AWS HealthLake
Amazon
Extract meaning from unstructured data with integrated Amazon Comprehend Medical for easy search and querying. Make predictions on health data using Amazon Athena queries, Amazon SageMaker ML models, and Amazon QuickSight analytics. Support interoperable standards such as the Fast Healthcare Interoperability Resources (FHIR). Run medical imaging applications in the cloud to increase scale and reduce costs. AWS HealthLake is a HIPAA-eligible service offering healthcare and life sciences companies a chronological view of individual or patient population health data for query and analytics at scale. Analyze population health trends, predict outcomes, and manage costs with advanced analytics tools and ML models. Identify opportunities to close gaps in care and deliver targeted interventions with a longitudinal view of patient journeys. Apply advanced analytics and ML to newly structured data to optimize appointment scheduling and reduce unnecessary procedures. -
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AWS HealthOmics
Amazon
Securely combine the multiomic data of individuals with their medical history to deliver more personalized care. Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations. Accelerate research by using scalable workflows and integrated computation tools. Protect patient privacy with HIPAA eligibility and built-in data access and logging. AWS HealthOmics helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population. Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity. Integrate multiomic analysis into clinical trials to test new drug candidates. -
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ZAIDYN
ZS
ZAIDYN is an AI-powered, cloud-native platform developed by ZS to revolutionize the life sciences industry. It integrates advanced analytics, machine learning algorithms, and intelligent workflows to empower organizations in transforming processes across research and development, commercialization, and patient engagement. The platform's modular design allows for scalable solutions tailored to specific needs, facilitating seamless integration with existing IT infrastructures through its open architecture. ZAIDYN enhances cross-functional collaboration by providing unified, high-quality data and insights, thereby reducing operational silos and promoting informed decision-making. With a focus on security and compliance, the platform ensures data privacy and adheres to regulatory standards, making it a reliable choice for life sciences companies aiming to innovate and improve health outcomes. -
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Tempus
Tempus
Tempus AI is a leading health technology company headquartered in Chicago, Illinois. Specializing in artificial intelligence and precision medicine, Tempus aims to revolutionize patient care by leveraging data and AI to develop personalized treatment plans across various medical fields, including oncology, cardiology, radiology, and depression. The company's comprehensive platform integrates genomic sequencing, clinical data, and AI-driven analytics to provide actionable insights for healthcare providers and researchers. We deliver a comprehensive view of your patients through our tissue and liquid tests, DNA and RNA sequencing, somatic and germline tests, tumor-normal matched profiling, and MRD and monitoring test options. We offer a fast, reliable platform for ordering Tempus tests, accessing patient insights, and utilizing our AI-driven technologies seamlessly. The first generative AI-enabled clinical assistant that provides access to patient insights directly at your fingertips. -
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LabAnalyzer
LabAnalyzer
LabAnalyzer is an AI-powered platform designed to simplify medical lab test interpretation. Users can upload lab results in various formats (PDF, image, or text) and receive instant, accurate explanations of their medical data. With advanced AI capabilities, LabAnalyzer provides detailed analyses of key metrics, highlights potential health issues to discuss with doctors, and offers translations into multiple languages. Key features include: support for PDFs, images, and text uploads with OCR for text extraction, detailed AI-powered insights into lab metrics like glucose, cholesterol, and more, language translation options for reports in real-time, and a secure, user-friendly platform with affordable pricing starting at $5. LabAnalyzer aims to empower individuals to better understand their health data and make informed decisions.Starting Price: $5 for advanced analysis -
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Speech2Structure
Averbis
When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses. -
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Iris.ai
Iris.ai
Iris.ai is a world-leading and award-winning AI engine for scientific text understanding. It is a comprehensive platform for all research-related knowledge processing needs. Our Researcher Workspace solution provides smart search and a wide range of smart filters, reading list analysis, auto-generated summaries, autonomous extraction, and systematising of data. Iris.ai allows humans to focus on value creation by saving 75% of a researcher’s time, doing specialised, interdisciplinary field analysis to an above human level of accuracy. Its algorithms for text similarity, tabular data extraction, domain-specific entity representation learning, and entity disambiguation and linking measure up to the best in the world. Its machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it, and give feedback to the system. Applying these features to scientific and technical text is a complicated challenge few others can achieve. -
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Ember
MetiStream
Unite and free your unstructured health data Interactive AI and NLP solution delivering health insights to Providers. Payers. Life Sciences. Interactive AI and NLP solution to unlock health insights from unstructured clinical notes data for: Provider. Accelerate data abstraction from and clinical validation of information contained in clinical notes. Decrease time and reduce costs required to identify care gaps, review care quality dashboards, and generate registry reports. Payer. Integrate and analyze both claims data and clinical notes to more effectively manage high risk and high cost member cohorts. Life Sciences. Rapidly match patients to clinical trials–and vice versa–using clinical trial databases and data from clinical notes. Leverage the power of real world clinical data and evidence. Ember is an end-to-end solution at the intersection of NLP and predictive analytics. Streamline. Healthcare Analytics for Unstructured Data to Improve Quality, Efficiency, and Outcomes -
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CluePoints
CluePoints
CluePoints is a cloud-based AI-driven risk-based quality management and clinical data oversight platform that leverages advanced statistics, machine learning, and deep learning to improve the integrity, accuracy, and safety of clinical trial data and processes; it provides real-time anomaly detection and centralized statistical monitoring that identifies outliers and data risks traditional methods might miss, enabling teams to manage risks proactively and accelerate issue resolution in line with FDA, EMA, and ICH guidelines. It includes specialized solutions such as Risk-Based Quality Management (RBQM) for real-time risk detection, Medical & Safety Review (MSR) for consolidated review and query workflows, Intelligent Medical Coding to automate consistent clinical coding suggestions, Intelligent Query Detection (IQD) to streamline discrepancy detection, and tools like the Site Profile & Oversight Tool (SPOT) for adaptive site monitoring. -
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GenHealth.ai
GenHealth.ai
GenHealth.ai is a healthcare-focused generative AI platform built on a proprietary Large Medical Model (LMM) trained using data from over 100 million patient histories rather than natural language. The LMM processes medical codes and events to predict future patient trajectories, forecast costs, and simulate clinical pathways with higher accuracy and fewer hallucinations than traditional large language models. It supports a suite of purpose-built applications, including Intake Automation (PDF routing, data extraction, medical necessity), Prior Authorization Agent for automated adjudication, and G‑Mode analytics, which enables users to “chat” with historical and projected population‐health data via natural language, all without coding. This AI‑powered co‑pilot has shown 94 % accuracy in prior‑auth cases, a 120× improvement in medical loss ratio forecasting, and 110 % better cost prediction versus standard HCC scoring. -
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BEKhealth
BEKhealth
BEKhealth offers an AI-powered clinical research platform centered on its BEKplatform, a unified system that extracts, interprets, and standardizes structured and unstructured electronic medical record data, including labs, diagnoses, physician notes, pathology reports, and PDFs, into a searchable, longitudinal patient graph to help life sciences and healthcare organizations rapidly identify protocol-eligible patients and optimize trial feasibility, site selection, and recruitment workflows. It employs deep learning and natural language processing to transform disorganized clinical data into actionable insights with high accuracy, generating robust queries and patient cohorts that reveal more qualified candidates than traditional manual chart review and support feasibility analyses with real-time reports and dashboards that inform decisions across research networks. -
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ScribeHealth
ScribeHealth
ScribeHealth is an AI-powered medical scribe that listens during patient-clinician conversations, transcribes and codes clinical notes in real time, and formats them into structured document types (SOAP, HPI, MSE, specialty-specific templates) with minimal clinician intervention. The system achieves high accuracy, learns from feedback, and lets most physicians spend only minutes tweaking rather than writing notes from scratch. It integrates seamlessly with existing EHR/EMR platforms (including Epic, Cerner, AllScripts, Jane, and specialty systems) via secure APIs, HL7/FHIR standards, or native integrations, enabling note syncing within clinicians’ normal workflows. ScribeHealth uses bank-level encryption, deletes audio recordings post-transcription, adheres to HIPAA compliance, and safeguards patient privacy. It offers session analytics, speaker identification, context awareness to extract symptoms, and assessments. -
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Blox.ai
Blox.ai
Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.Starting Price: $650 -
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Salesforce Agentforce Life Sciences
Salesforce
Agentforce Life Sciences, formerly Life Sciences Cloud, is Salesforce’s AI-first engagement platform built for Pharma, MedTech, Consumer Health, and Animal Health organizations. It unifies clinical, medical, commercial, and patient services functions on a compliant, industry-specific CRM foundation. The platform enables cross-functional teams to engage healthcare providers and patients using real-time, data-driven insights. AI-powered automation accelerates clinical trials, improves medical inquiry management, and enhances commercial engagement. Life Sciences Cloud supports compliant workflows with audit trails and governance embedded directly into daily operations. Patient services teams can streamline benefits verification, adherence programs, and adverse event management. Agentforce Life Sciences helps organizations bring therapies and devices to market faster while improving operational efficiency and stakeholder engagement. -
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Feather
Feather
Feather is a HIPAA-compliant medical AI chat platform designed for healthcare professionals to securely handle sensitive patient data and streamline workflows. It offers features such as AI-powered clinical transcription, analysis of DICOM images (MRIs, X-rays, etc.), generation of SOAP and BIRP clinical notes, and secure cloud storage for confidential medical records. Key Features - AI chat interface for interacting with patient records, lab results, and clinical notes in a single workspace. - Secure handling of protected health information (PHI) with HIPAA-compliant cloud storage for medical data. - Automated AI-powered clinical documentation, including SOAP and BIRP notes generation from real-time interactions. - AI analysis of medical images like DICOM files (MRI, CT, X-ray, ultrasound). - Summarization and analysis of medical reports (lab, radiology, pathology).Starting Price: $49/month -
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Latent Health
Latent Health
Latent Health is an AI-powered medication access platform built to streamline and accelerate the administrative processes that delay patient access to specialty and life-saving therapies, especially prior authorizations, appeals, and 340B eligibility workflows. Its clinical-AI system indexes and reasons over electronic health records and external evidence such as clinical guidelines and literature to surface relevant patient data, answer specific authorization questions, evaluate medical benefit criteria, and even draft appeal letters, reducing review and turnaround times from hours or days to minutes while improving accuracy and compliance. It integrates seamlessly with major EHR systems using healthcare standards like SMART on FHIR, supports centralized pharmacy operations, and provides workflow orchestration that decreases administrative burden, increases throughput, and frees clinical staff to focus on patient care. -
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Grooper
BIS
Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data. The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government. -
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Truveta
Truveta
Truveta is a health data and analytics platform dedicated to saving lives with data. By aggregating de-identified electronic health records from over 30 health systems, Truveta offers researchers access to comprehensive patient data, including clinical notes, images, and genomics. This extensive dataset encompasses more than 120 million patients, providing a representative view of patient care across the United States. Truveta Studio, the platform's integrated analytics solution, empowers researchers to analyze precise populations with powerful tools, including notebooks and dashboards, all within a secure, HIPAA-compliant environment. The platform's data is updated daily, ensuring timely insights into patient care and outcomes. Truveta's commitment to data quality is evident through its use of the Truveta Language Model, a large-language, multi-modal AI model designed to transform EHR data into clean and accurate data points for medical research. -
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Amazon Comprehend
Amazon
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. -
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Verana Health
Verana Health
Verana Health is a real‑world data platform that transforms structured and unstructured electronic health record information into de‑identified, curated, disease‑specific data modules via its clinician‑informed and AI‑enhanced VeraQ population health data engine. Aggregating data from strategic partnerships with leading medical registries (including the American Academies of Ophthalmology, Neurology, and Urological Association), it encompasses over 20,000 clinicians and roughly 90 million patient records, providing near real‑time, high‑quality datasets to power real‑world evidence generation, clinical trial site and subject identification, clinician quality reporting, and medical registry management. Accessible through cloud services such as AWS Data Exchange and Amazon Redshift, the platform offers self‑service API access, an intuitive dashboard, and customizable cohort discovery tools, while advanced AI/ML algorithms, robust data quality assessments. -
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Genospace
Genospace
At Genospace, we understand that genomics is driving the development of precision medicine, yet scaling its delivery is an unsolved challenge. We’re here to help. Our platform is designed to make biomedical data meaningful and accessible to everyone, especially those on the front lines of care delivery. Arm your clinicians and researchers with the information they need to make informed decisions and join us in our mission of leveraging high-dimensional molecular data to improve individual patient outcomes and accelerate drug development and research. Large-scale population data is necessary for drug development and research. Conduct cohort-driven analyses to inform your research activities with the Genospace platform. We specialize in clinical trial research. Use the Genospace platform to match fragmented patient data to complex trial criteria and expedite patient accruals. Integrate genomic medicine into mainstream clinical care with the Genospace platform. -
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Docus
Docus
Submit your health details, ask related questions, and receive outstanding responses from our virtual health assistant. Choose a doctor suited to your unique needs from leading institutions in the US & Europe. Receive a medical second opinion in written form or via video call, all from the comfort of your own home. Any data shared while using our services is protected by advanced encryption and security protocols that comply with HIPAA and GDPR standards. While the Docus AI health assistant is designed to function as an AI doctor and provide accurate and relevant information based on its training, it is important to note that it cannot guarantee complete accuracy. Always consult with a healthcare professional for a definitive diagnosis and treatment plan. Even though Docus AI health assistant acts as an AI doctor, it is important to note that it is not intended to replace the expertise of a real doctor.Starting Price: $7.99 per month -
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MedGEO
MedGEO
MedGeo is a health MedGEO reconnecting healthcare providers with patients through clinician-developed state-of-the-art digital technology. For startups that work directly with providers, administrators, and industry representatives to develop software applications for optimizing clinical workflows. MedGEO is built upon the expertise of renowned global health, surgical, and medical professionals. With decades of first-hand experience across over 100 countries, we bring a unique perspective to the field of healthcare technology. Modern hospital hallways are crowded with computers, piled with hardware, and draped with wires, representing a patchwork of systems that often fail to communicate with one another. Staff are more likely to interact with computers than patients and clinicians spend more time entering data than providing care. MedGEO optimizes workflows for clinicians, healthcare administrators, pharmaceutical companies, and the medical asset industry. -
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PatientIQ
PatientIQ
Founded in Chicago, Illinois, PatientIQ serves provider organizations, medical device & life sciences, and payers with its platform to learn their practice with data-driven medicine. The largest platform for healthcare professionals to collaborate and improve patient outcomes. Empower healthcare providers with industry-leading technology to practice data-driven medicine. In the U.S. healthcare market, all stakeholders are under increasing pressure to prove their value. A critical component to assessing "value" is an objective measure of patient outcomes. The challenge of measuring outcomes is expensive, nuanced, and ladened with technological barriers, but outcomes are the most valuable currency in value-based healthcare of the future. A transparent solution to systematically measure, analyze, and compare outcomes across stakeholders is the next big market opportunity in digital health. -
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Interpret My Results
Computer Service and Support
Interpret My Results is a patient-facing web application designed to provide clear, easy-to-understand interpretations of lab results using artificial intelligence. It eliminates medical jargon and empowers users to better understand their health without needing to wait for a doctor's follow-up or search for confusing explanations online.Starting Price: $2.99/interpretation -
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PicnicHealth
PicnicHealth
PicnicHealth connects patients and researchers to deliver the most complete, fit-for-purpose real-world data. By working directly with patients who contribute their medical data to research, we can build the most complete picture of patient health across all of their providers, not just one care site or specialist. Building the right cohort of patients is easy with our existing patient communities and rapid recruitment through dozens of established direct-to-patient channels. Patients sign up and consent to participate in 10 minutes and get access to their medical records. Do you have patients in ongoing registries or trials? Send them to PicnicHealth and we’ll get them set up. Our research platform delivers customized real-world data at the patient level. Specify the data elements to extract from medical records, including doctors' notes, narrative text, and more. Our unique, patient-centric approach to real-world data empowers patients to contribute more. -
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Story Health
Story Health
Story Health uses virtual care and AI technology to bridge the gap between clinical data and patient reality, empowering specialists to optimize treatment for patients with serious illnesses. Most of a patient's health story doesn't happen in a doctor's office. For high-acuity patients, this has meant disjointed solutions and missed opportunities to provide the best possible care. Story Health introduces a new way to treat high morbidity conditions that is more adaptive, quicker to implement and more effective for clinicians and patients alike. Now clinicians have the tools to stay connected to patients, manage complex data streams and make real-time changes to home treatment plans that have critical consequences. Story Health delivers personalized recommendations based on a patient’s specific story and a clinician’s practice patterns. With visibility in-between visits and across patients, it’s easy to identify which patients need attention, swift intervention or therapy optimization. -
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Microsoft Cloud for Healthcare
Microsoft
Microsoft Cloud for Healthcare is a comprehensive platform designed to transform the healthcare industry through AI-powered solutions, data integration, and secure, connected experiences. The platform helps healthcare providers, payors, and life sciences organizations improve patient care, streamline operations, and enhance research capabilities. It offers tools for safeguarding sensitive data, optimizing clinical workflows, and improving patient engagement. Microsoft Cloud for Healthcare leverages actionable insights from unified clinical and operational data, enabling healthcare organizations to drive positive outcomes, increase efficiency, and reduce costs. -
38
ConcertAI
ConcertAI
ConcertAI is a leading provider of AI-powered solutions in the healthcare industry, specializing in oncology. Their mission is to accelerate insights and improve outcomes for patients through leading real-world data, AI technologies, and scientific expertise. ConcertAI offers a suite of products and services designed to enhance clinical research and patient care. Their Real-World Data Products provide comprehensive, fit-for-purpose datasets that support a variety of research needs across the enterprise. The digital trial solution streamlines clinical trial processes, while the Clinical Trial Optimization (CTO) platform utilizes large-scale AI to refine trial design and execution in oncology and hematology. In collaboration with NeoGenomics, ConcertAI has developed CTO-H, a SaaS solution focused on hematological malignancies, offering advanced research analytics and operational optimization. -
39
Endimension
Endimension
Artificial intelligence to transform healthcare diagnosis. Using AI and predictive analytics for early-stage disease detection and accurate diagnosis. Cloud-enabled AI platform to ensure affordable and accessible healthcare for all. Endimension Technology is a healthcare artificial intelligence startup incubated at IIT Bombay. We develop AI algorithms to automatically detect abnormalities and diseases from medical scans. The founding team consists of machine learning researchers, software engineers and medical doctors from reputed institutions. Our mission is to build healthcare AI technology products that will reduce patient misdiagnosis. AI to reduce radiologist workload and improve patient turnaround time. -
40
Health Studio
Health Studio
Health Studio™ offers a unique, fully integrated AI platform that unifies patient care, clinical research, and remote monitoring. By seamlessly connecting wearables, medical devices, and patient data, it delivers real-time insights, streamlines operations, and enhances outcomes, transforming healthcare into a more connected, data-driven experience. -
41
Fedo
FEDO AI
Fedo Vitals: The AI-Powered Health Companion for a Better Future. Fedo Vitals, an innovative AI data-driven application that revolutionizes the way we monitor and predict our health. From a 14-second face video recording, Fedo Vitals analyzes an individual's vital signs and provides insights into potential health risks and expected medical expenses for the next five years. Fedo Vitals uses data-driven AI technology to analyze facial cues, demographics, habits and lifestyle information, to extract vital signs such as blood pressure, blood sugar, BMI, heart rate, HRV-SDNN, respiration rate, oxygen levels and identifies whether the individual is a smoker or not. It also detects subtle changes in an individual's health status which allows for early detection of potential health issues, enabling individuals to take proactive measures to prevent or delay the onset of these conditions. -
42
Azure Health Bot
Microsoft
Azure Health Bot empowers developers in healthcare organizations to build and deploy AI-powered, compliant, conversational healthcare experiences at scale. It combines a built-in medical database with natural language capabilities to understand clinical terminology and can be easily customized to support your organization's clinical use cases. The service ensures alignment with industry compliance requirements and is privacy-protected to HIPAA standards. Create health bots using built-in medical knowledge bases, triage protocols, and language models trained to understand clinical terminology. Trigger seamless handoff from a bot interaction to a doctor, nurse, or support agent. Leverage a library of industry-specific scenario templates to accelerate the creation of healthcare use cases. Support your organization's custom scenarios with healthcare-specific configuration options and extensibility tools.Starting Price: $2.50 per 1,000 messages -
43
AIMedInfo
Accreditation Council for Medical Affairs (ACMA)
AIMedInfo is an AI-enabled, cutting-edge, end-to-end fully integrated global medical information solution designed to enhance medical affairs productivity and engagement. This cloud-based platform utilizes sophisticated AI and machine learning models to rapidly, securely, and accurately process medical information, providing instant access to data and continuous learning opportunities. AIMedInfo offers multi-channel support for medical information intake, handling, and response, including AI-enabled chatbots and live chat agents to address healthcare professionals' (HCPs) and patients' inquiries 24/7. The platform seamlessly integrates data from standard response documents, prescribing information, and other sources, ensuring comprehensive and compliant medical information support. Additionally, AIMedInfo captures key insights and analytics on patient and HCP behavior, such as possible adverse event identification, sentiment analysis, and interaction frequency. -
44
LexisNexis MarketView
LexisNexis
LexisNexis® MarketView™ delivers medical claims-based intelligence to healthcare payers, providers, life sciences companies and health IT organizations across the United States. MarketView delivers actionable insights to remain competitive, allowing businesses to see valuable insights, and visualize ways to transform business. Whether you are a life sciences company, a health plan, a health system, or a health IT vendor, MarketView can help transform key business work streams including marketing, sales, strategic planning, physician relations and outreach, market research, network optimization, recruitment, pricing, contracting, clinical teams and more. Your business needs the most actionable insights to remain competitive. But it’s hard to diagnose the right areas of focus when the picture is unclear. MarketView delivers insights into areas including referral patterns, physician alignment strategies, the quality of clinically integrated networks, patient volumes, etc. -
45
Cortical.io
Cortical.io
Cortical.io delivers AI-based Natural Language Understanding (NLU) solutions like Contract Intelligence and Message Intelligence which enable enterprises to more effectively search, extract, annotate and analyze key information from any kind of unstructured text. Cortical.io artificial intelligence-based solutions can be quickly trained unsupervised in the specialized vocabulary of any business domain and can function across multiple languages. They have been implemented at multiple Fortune 500 businesses, covering a wide spectrum of use cases, -
46
Journalhjelp
Journalhjelp
Journalhjelp is an AI-powered documentation assistant for medical professionals that reduces time spent on administrative work during and after patient consultations. The platform provides real-time or post-consultation transcription of patient visits, automatically structures the conversation into clinically relevant notes, and generates draft medical documentation such as certificates, referrals, and other required forms. Clinicians can review, edit, and approve all generated content before it is finalized. Journalhjelp also includes a secure chat interface for interacting with patient journals, allowing clinicians to quickly search long records, extract key information, and get precise answers without manually scanning extensive documentation. Built specifically for the Norwegian healthcare system, Journalhjelp prioritizes data security, GDPR compliance, and clinical control.Starting Price: $39/month -
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ONEai Health
ONEai Health
ONEai Health offers a continuous clinical surveillance platform that aggregates biometric data from smart wearables or medical devices to monitor patients, analyze trends via AI, and issue alerts before conditions worsen. Its BIO-EYE system applies disease-specific predictive analytics to detect early signs of decline in patients with chronic conditions such as CHF, COPD, diabetes, hypertension, or sepsis, enabling proactive interventions and reducing hospital admissions. Patients’ real-time vitals, heart rate, SpO₂, HRV, stress, sleep, and activity are integrated via platforms like Apple HealthKit, while the system supports seamless access through a patient mobile app and secure data transmission to care teams. By continuously assessing patient health trajectories, ONEai Health helps clinicians intervene earlier, improve patient outcomes, lower costs, and extend monitoring into recovery settings, long-term care, and home environments. -
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ChatGPT Health
OpenAI
ChatGPT Health is a dedicated experience within ChatGPT designed to support health and wellness conversations in a secure and personalized way. It brings together a user’s health information and AI-driven insights to help people feel more informed and prepared. The experience allows users to securely connect medical records and wellness apps to provide relevant context. ChatGPT Health helps users understand test results, prepare for doctor visits, and track patterns over time. It is designed to support, not replace, professional medical care. Enhanced privacy protections ensure health conversations remain isolated and protected. Built in collaboration with physicians, ChatGPT Health prioritizes clarity, safety, and responsible guidance. -
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myMEDIhub
VEPRO
myMEDIhub collects any kind of medical patient data, whether text, image or video, in a health portal and makes this data available to patients and doctors via WEB. But also your referring physicians or patients can publish their own patient data via drag & drop - a multimedia exchange of all necessary medical information becomes true. Why burn medical images on a CD, send them to other healthcare providers or give them to the patient? Why not sending the data directly to the myMEDIhub cloud. You allow your patients or cooperating physicians to access or download this information. A text message or e-mail reminds you of new health data in myMEDIhub. There is no faster, more efficient and cost-saving way for exchanging medical information. By networking with other health service providers in a region, a personal health record is created for your patients. -
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MedTalk
MedTalk
MedTalk is an AI-powered medical scribe that helps doctors, clinics, and healthcare providers save time by automating clinical documentation. Whether through live transcription or audio uploads, MedTalk generates accurate, structured, and secure medical notes that align with clinical standards. With features like automated report generation, EHR integration, Enhance Report, Ask AI, and a built-in Template Library, MedTalk reduces administrative burden and enables healthcare professionals to focus on what matters most — patient care. Built with HIPAA compliance and security certifications, MedTalk ensures your data is handled with the highest level of protection.Starting Price: $39/month
