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On October 23, 2026, the Microsoft research team announced the diagnostic results of an AI diagnostic tool in tests on complex cases. Phoenix Technology reported that day that Microsoft launched the AI diagnostic system Microsoft AI Diagnostic Orchestrator (MAI-DxO), which simulates a joint consultation of physician specialists by orchestrating multiple AI agents; in a simulated evaluation based on complex cases from the New England Journal of Medicine, its accuracy reached 83%, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials, while specialists were not included in the comparison; in an evaluation of common U.S. emergency department cases based on the MIMIC-IV-ED dataset, its diagnostic accuracy was 1.7 times that of human physicians. Cailian Press reported the same day that the tool is powered by GPT-5 and, through a mechanism called the "Diagnostic Orchestrator," simulates multiple clinical experts analyzing collaboratively, deciding step by step which medical histories to ask about and which tests to arrange, and continuously updating diagnostic hypotheses; general practitioners without access to reference materials had an accuracy of about 22%. The research team's next step will be to collaborate with Boston's Beth Israel Deaconess Medical Center to test emergency triage capabilities; Microsoft has not yet stated the timing or form of commercialization.
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Microsoft research team publishes test results of AI diagnostic tool on complex cases
Source:Phoenix Technology
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Browse reports and discussion by time. Their evidence levels remain distinct.
Oct 27
Phoenix Tech
Microsoft MAI-DxO lands in Science: diagnostic accuracy of about 83% on complex cases, higher than the 36% of the physician group
Microsoft's announced system MAI-DxO has landed in Science: on 304 complex cases from the New England Journal of Medicine, its diagnostic accuracy was about 83%, compared with about 36% for the physician group allowed to consult reference materials. The system has the same underlying model play five virtual doctors, respectively responsible for proposing diagnoses, selecting tests, raising counterarguments, comparing costs, and checking reasoning. The study also shows that plain GPT-5 achieved 78.9% accuracy on these cases, rising to 83.2% after adding the consultation process, with the average cost per case falling from $8,409 to $5,430; under a budget-constrained configuration, accuracy was 80.9% with an average cost of $2,241. Microsoft has announced a partnership with BIDMC to next test the system in emergency department triage scenarios.
Oct 23
Cailian Press
Microsoft's AI diagnostic tool simulates a doctor's step-by-step questioning, with accuracy on complex cases about twice that of general practitioners
Microsoft's research team published in the journal Science an AI diagnostic tool powered by GPT-5, which achieved a diagnostic accuracy of about 83% on complex cases selected from the New England Journal of Medicine, compared with about 36% for general practitioners with reference materials and about 22% without them. Through a mechanism called the "Diagnostic Coordinator," the tool simulates multiple clinical experts analyzing cases collaboratively, deciding step by step which medical history to ask about and which tests to order, and continuously updating diagnostic hypotheses. The research team's next step is to collaborate with Boston's Beth Israel Deaconess Medical Center to test emergency triage capabilities; Microsoft has not yet specified the timing or form of commercialization.
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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.
Phoenix Technology
Microsoft Launches AI Diagnostic System MAI-DxO, Achieving 83% Accuracy on Complex Cases
Microsoft announced the launch of its AI diagnostic system, Microsoft AI Diagnostic Orchestrator (MAI-DxO), which simulates a multidisciplinary expert consultation by orchestrating multiple AI agents. In an evaluation based on common cases from U.S. emergency departments using the MIMIC-IV-ED dataset, its diagnostic accuracy was 1.7 times that of human physicians; in a simulated evaluation based on complex cases from The New England Journal of Medicine, it achieved 83% accuracy, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials, while specialists were not included in the comparison. Officials said the system's cost is only half or even one-third that of physicians, and the research findings have been published in the journal Science.
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Microsoft launches AI medical diagnostic system Diagnostic Orchestrator, achieving 83% accuracy on complex cases
Microsoft has announced a multi-agent medical diagnostic system called Diagnostic Orchestrator. The research results were published in Science on October 22, and an evaluation benchmark named SDBench was established. In tests based on case reports from the New England Journal of Medicine, the system's diagnostic accuracy was about 83%, compared with about 36% for general practitioners with access to reference materials; in emergency cases at Beth Israel Deaconess Medical Center, the system's accuracy was 80%, compared with an average of about 47% for human doctors. The system is powered at the underlying level by OpenAI's GPT-5. Microsoft emphasizes that the orchestration mechanism is equally critical, and plans to collaborate with hospitals on real-world testing, but has not yet announced a timeline or commercialization plan.