Healthcare AI Safety Gap · Don't break patients
    Reputable report / newsJan 2026·US / Intl

    Only 5% of clinical-AI studies use real patient data

    Stanford–Harvard (ARISE) review of 500+ studies flags a 'deployment gap'.

    5%
    of 500+ studies used real patient data

    What the research found

    The ARISE network's review of more than 500 clinical-AI studies found only about 5% used real patient records; nearly half relied on exam-style questions. The report names a 'deployment gap' between controlled performance and how systems hold up in real care.

    Why it matters for providers

    Most claims of 'physician-level' AI rest on tests that don't resemble how the tools are actually used on patients.

    Original source
    Stanford–Harvard — State of Clinical AI Report 2026 (ARISE)
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