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Harvard study finds AI diagnoses beat two human doctors in emergency room tests
Technology
Published on 4 May 2026

One model matched real ER cases better than humans
A Harvard-backed study tests large language models across multiple medical scenarios, including real emergency room cases. The researchers report that at least one AI model performed more accurately than two human doctors, raising questions about how these systems could support urgent care workflows and where their limits may still be.
- Study evaluates large language models in varied medical tasks
- Real emergency room cases showed AI beating two doctors
- Findings could reshape decision support in urgent care
- Accuracy gains still need scrutiny and validation
Read the full story at TechCrunch
This summarization was done by Beige for a story published on
TechCrunch
