A collection of 2026 studies showing AI matching or outperforming ER physicians — from DeepMind's AI co-clinician to the Harvard-Science paper on OpenAI o1 diagnosing 67% of ER patients correctly.
The important medical AI story here is not replacement but reliability. Google DeepMind says its AI co-clinician produced zero critical errors in 97 of 98 realistic primary-care queries, while physicians still beat it overall in multimodal telemedicine simulations.
A new study published in Science found that a state-of-the-art LLM matched or exceeded human emergency physicians in diagnostic choices, emergency triage, and next-step management decisions using real ER data and hundreds of physician comparisons. Researchers say the results call for collaborative care models, not AI replacement of doctors.
A peer-reviewed study published in Science tested OpenAI's o1 on 76 real ER triage cases and found it achieved exact or near-exact diagnoses 67% of the time, versus 55% and 50% for two attending physicians who received identical patient data.
A Harvard Medical School trial found OpenAI's o1 reasoning model correctly diagnosed 67% of ER patients, beating human physicians at 50-55%. With more clinical data, o1 reached 82% accuracy and dominated long-term treatment planning at 89% versus doctors' 34%.