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: 83% Accuracy on Complex Cases, Results Published in Science
IT Home Download the App for Exclusive Early Access October 23, 2026, 07:24:31 From Shandong Updated October 23, 2026, 08:43:08
IT Home, October 23 — 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 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 orchestrating multiple AI agents in a unified manner — the agents work together to question patients, order laboratory tests, and conduct in-depth analysis and debate over 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%. By comparison, the accuracy of primary care general practitioners and general internal medicine physicians who could independently consult reference materials was only 36%.
It is worth noting that such complex cases in real clinical practice are usually handled by specialist experts or multidisciplinary medical teams working together, and these specialist physicians were not included in this control experiment.
Officials said the system costs only half or even one-third of what doctors cost, and can precisely pinpoint the correct diagnosis with fewer 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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