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Science study: OpenAI’s o1 matched or beat physicians at diagnosis on real ER cases

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Researchers at Harvard Medical School and Beth Israel Deaconess reported in Science that OpenAI’s o1 reasoning model outperformed physician baselines across clinical-reasoning benchmarks and, on 76 real emergency-department cases using raw health-record data, matched or exceeded attending physicians in diagnostic accuracy at the early decision points. The authors said prospective clinical trials are needed before autonomous use.

Why it matters

Hospitals considering diagnostic LLMs have retrospective evidence from 76 real ER cases, and the authors say prospective trials are needed before any autonomous use.

When
30 Apr 2026
ID
WTA-N-2026-0044
Who
Harvard Medical School, Beth Israel Deaconess Medical Center, OpenAI; Arjun Manrai, Adam Rodman

Summary by wheresthe.ai, from Harvard Medical School via Newswise and the reporting credited above. Checked against the source on 7 Oct 2026.

Source copy: download the page as saved on 18 Oct 2026 (PDF). Also held by the Internet Archive.

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Cite this story

WTA-N-2026-0044: “Science study: OpenAI’s o1 matched or beat physicians at diagnosis on real ER cases.” wheresthe.ai, 30 Apr 2026. https://wheresthe.ai/d/us-science-o1-ed-diagnosis-study-2026-04/ (source: Harvard Medical School via Newswise).

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