Showing 12 of 12 tools
Ambient clinical intelligence for physicians
Nuance DAX automatically creates clinical documentation by listening to physician-patient conversations, reducing documentation time by 50%. It integrates with Epic, Cerner, and other major EHR systems. Now part of Microsoft's healthcare AI portfolio with Azure Health Data Services.
AI medical conversation summaries for clinicians
Abridge transforms clinical conversations into structured summaries using AI trained specifically on medical language. Clinicians review and approve AI-generated notes in seconds rather than spending 2+ hours on documentation after appointments. Integrated with Epic and used at UPMC and Kaiser Permanente.
AI-driven precision medicine platform
Tempus applies AI to genomic sequencing, clinical data, and imaging to help oncologists make more informed treatment decisions. Its Library of de-identified clinical and molecular data powers AI models that predict drug responses and identify clinical trial candidates.
AI-powered pathology diagnosis
PathAI develops AI models for pathology image analysis that help pathologists diagnose diseases more accurately and efficiently. Its models assist with cancer diagnosis, biomarker analysis, and drug development research. Partners include Bristol Myers Squibb and Lilly.
AI symptom checker and virtual healthcare
Babylon Health delivers AI-powered symptom checking, triage, and virtual consultations via app. Its clinical AI, trained on millions of medical conditions, provides triage recommendations that have been clinically validated against GP assessments. Operating across the US, UK, and Rwanda serving millions of patients.
Voice AI assistant for clinical documentation
Suki is an AI-powered voice assistant designed specifically for physicians that captures and structures clinical notes in real-time. It integrates with major EHRs like Epic, Cerner, and athenahealth to auto-populate structured data. Physicians report saving 72 minutes per day on documentation.
AI platform for clinical workflow automation
Notable Health automates clinical administrative tasks using AI — pre-visit intake, gap-in-care outreach, chronic disease management, and prior authorization. Its platform integrates with your EHR to identify and close care gaps automatically, allowing clinical staff to focus on patient interaction.
AI medical guidance for digital health
Infermedica's AI platform powers symptom assessment, triage, and clinical decision support for healthcare providers and insurers. Its API is used in 30+ countries and 29 languages, and has conducted over 50 million medical interviews. Powers the symptom checker for major insurance companies and hospital systems.
AI health guidance platform for patients
Buoy Health is an AI-powered health guidance platform that helps patients understand their symptoms and navigate to the right care level — urgent care, ER, or telehealth. Its clinical AI is trained on 18,000+ conditions and tested against physicians' diagnoses, achieving comparable accuracy to clinical professionals.
AI clinical intelligence for hospital diagnosis
Regard analyzes the full patient chart in real-time to surface probable diagnoses that physicians may overlook due to cognitive overload. It integrates directly into Epic workflows, presenting AI-ranked diagnoses with supporting evidence from the patient's own chart data — improving documentation quality and HCC capture.
AI protein structure prediction
AlphaFold by Google DeepMind has solved one of biology's greatest challenges — predicting the 3D structure of proteins from their amino acid sequence with near-experimental accuracy. The AlphaFold Protein Structure Database now contains predictions for over 200 million proteins, accelerating drug discovery worldwide.
AI for healthcare operations and clinical insights
IBM Watson Health provides AI-powered solutions for healthcare analytics, clinical decision support, and operations optimization. Its natural language processing analyzes unstructured clinical notes to extract insights, while predictive models help hospitals identify readmission risks and optimize resource allocation.