Microsoft launches AI medical diagnostic system MAI-DxO, achieving 83% accuracy on complex cases
Microsoft announced the launch of the AI diagnostic system MAI-DxO (Microsoft AI Diagnostic Orchestrator), which simulates a multidisciplinary expert consultation of physicians by uniformly orchestrating multiple AI agents. In a simulated evaluation based on complex NEJM cases, its diagnostic accuracy reached 83%, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials; in an evaluation of common U.S. emergency department visit cases based on the MIMIC-IV-ED dataset, its accuracy was 1.7 times that of human physicians. Officials said the system costs only half or even one-third of what physicians cost, and the research results have been published in the journal Science.
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The original text provides the comparative accuracy rates and cost comparisons of the system on complex cases and emergency cases, allowing readers to assess the position of multi-agent orchestration in medical diagnosis.
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Microsoft Launches AI Medical Diagnostic System MAI-DxO: 83% Accuracy on Complex Cases, Results Published in Science
2026-10-23 07:23 IT Home - Qin Cang (Intern)
Thanks to IT Home user Huanan Wu Yanzu for the tip-off!
IT Home, October 23 news: On October 22 local time, Microsoft announced that when evaluating common emergency department visit cases in the United States based on the MIMIC-IV-ED dataset, the diagnostic accuracy of its developed AI diagnostic system MAI-DxO reached 1.7 times that of human doctors.
The system is named Microsoft AI Diagnostic Orchestrator, or DxO for short. It simulates the process of a joint consultation of physician specialists by uniformly orchestrating multiple AI agents — each agent collaboratively interviews the patient, orders laboratory tests, and conducts in-depth analysis and debate on potential diagnoses.
In a simulated evaluation based on complex cases from the New England Journal of Medicine (NEJM), MAI-DxO's diagnostic accuracy reached as high as 83%. In comparison, the accuracy of primary care general practitioners and general internists who could independently consult reference materials was only 36%.
It is worth noting that such complex cases in real clinical practice are usually handled through collaborative diagnosis and treatment by specialist experts or multidisciplinary medical teams, and these specialist doctors were not included in this control experiment.
Officials stated that the cost required by the system is only half or even one-third that of doctors, and it can precisely pinpoint the correct diagnosis with fewer laboratory tests and diagnostic procedures. The research results have been officially published in the journal Science.
Microsoft tested MAI-DxO against models from multiple institutions including OpenAI, Google, Anthropic, Meta, and DeepSeek, among which the most impressive performers were OpenAI's GPT-5 and GPT-5.5.
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