StudioMicrosoft's MAI-DxO diagnostic system hits 83% on complex cases in Science study as Suleyman chases 'medical superintelligence'
Original title: Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’
Microsoft's AI diagnostic system MAI-DxO correctly diagnosed complex NEJM cases 83% of the time in a Science-published simulation, versus 36% for primary care doctors and general internists working individually; the system coordinates multiple AI agents acting like a panel of doctors. The study's own data suggests much of the gain comes from stronger underlying models: DxO lifted GPT-5.5 from 72% to nearly 87% on complex cases at slightly lower cost, but showed little improvement on emergency department cases, and weaker models like Gemini 2.5 Flash rose from 46.4% to nearly 69%. Microsoft is training a healthcare foundation model with Mayo Clinic planned for release next year, and will evaluate DxO's clinical reasoning in real hospital settings through a partnership with Beth Israel Deac…
The report includes the study's own data on how DxO's gains vary across models and emergency cases, offering a fuller picture than the headline claims alone.
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