Just as Product-Market Fit measures how well a product matches its market, Evidence-to-Person Fit measures how well retrieved medical evidence matches the patient asking. Why it's hard, and what it takes to fix — in four steps: complete questions, visible slots, open schemas, testable parsing.
Read →The medical AI landscape, organized by audience: tools for everyday people (ChatGPT Health, Consensus, Examine.com, AskClara) and tools for medical pros (OpenEvidence, AMBOSS, ChatGPT for Clinicians, UpToDate AI, Glass Health, and others).
Read →For developers building clinical-AI tools, sophisticated users evaluating closed ones, and open-source contributors keeping the space honest. Other players (Consensus MCP, OpenEvidence SDK, ClinicalTrials.gov MCPs) and the medical AI benchmarks worth knowing (NOHARM, HealthBench, MedHELM, MultiMedQA, MedQA, PubMedQA).
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