Microsoft study claims MAI-DxO AI system beats individual doctors on complex diagnoses
Microsoft published a study in Science showing its MAI-DxO system, which orchestrates multiple AI agents to question patients and debate diagnoses, correctly diagnosed complex NEJM case studies 83% of the time, versus 36% for primary care doctors working alone. The system performed best when paired with OpenAI's GPT-5 and GPT-5.5 models, and Microsoft also measured cost, saying its orchestration layer reduced the price per case by about $3,000 compared to running GPT-5 alone.
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The comparison pitted AI against solo generalist physicians rather than the specialist teams who normally handle such complex cases, which may overstate the real-world performance gap. Microsoft's Mustafa Suleyman framed the result as progress toward 'medical superintelligence,' joining Google and OpenAI in publicizing AI diagnostic claims, though the study itself suggests much of the gain comes from underlying model improvements rather than Microsoft's orchestration technique.
- MAI-DxO scored 83% accuracy on complex NEJM cases versus 36% for solo physicians
- Best results came when pairing the system with OpenAI's GPT-5 and GPT-5.5 models
- Comparison excluded specialist teams, who typically handle such complex real cases
Source: techcrunch.com — Rebecca Bellan, 2026-10-22
Published there as: “Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’”
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