// AI news · 2026-10-23 · Microsoft Source
AI Diagnostic System Outperforms Doctors in Complex Cases
MAI-DxO outperforms physicians in complex and typical diagnostic cases, achieving 83% and 80% accuracy respectively.
Published 2026-10-23 23:56 (Beijing time)Source Microsoft SourceAuto-summarised, fact-checked against source
01Summary
It uses a team-based reasoning approach to simulate clinical debate, dynamically updating diagnoses as evidence accumulates. On NEJM cases, it reaches 81% accuracy at less than half the cost of alternatives. Performance remains strong even with newer models like GPT-5.5. SDBench is open-sourced for research validation.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- MAI-DxO achieves 83% accuracy on complex cases, outperforming doctors by up to 3.7x.
- Reaches 80% accuracy on typical ED cases, more than 1.7x better than physicians.
- Uses iterative reasoning and debate to simulate team-based clinical decision-making.
- Maintains high performance with cost reductions in optimized configurations.
03Source
Can AI diagnose like a team of doctors? New research puts it to the test
Microsoft Source · published 2026-10-23 23:56 Beijing time
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