Microsoft develops AI tool that can diagnose 'sequentially' like a doctor
The system used multiple AI agents to revise diagnoses, order tests and cut estimated work-up costs while outperforming generalist physicians.
- On Thursday, Microsoft researchers published a study in Science showing their Diagnostic Orchestrator outperformed generalist physicians in diagnosing complex medical cases using a simulated panel of clinical experts.
- Unlike existing models that analyze all data simultaneously, the Diagnostic Orchestrator functions sequentially, asking questions and ordering tests step-by-step as doctors do, continuously updating hypotheses based on patient information.
- In complex medical tests, the system achieved 83.2% diagnostic accuracy versus 36.1% for generalist physicians with references; it scored 80% on emergency department cases compared to 47% for human doctors.
- Researchers will next test the tool's clinical reasoning at Beth Israel Deaconess Medical Center in Boston, with Dr. Dominic King, Microsoft AI Health's leader, aiming to remove 'the drudgery' from medicine.
- Microsoft CEO Mustafa Suleyman views this work as advancing toward 'medical superintelligence,' predicting healthcare models will improve significantly within 24 to 36 months while human clinicians remain central to patient care.
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Microsoft Claims Its New Medical AI Diagnostic Orchestrator Is Better at Diagnosing Than Real Doctors
Microsoft's MAI-DxO achieved higher diagnostic accuracy than generalist physicians in a peer-reviewed study, while selecting tests with lower estimated costs under controlled simulation conditions.
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An artificial intelligence tool (AI) called DxO, developed by Microsoft, managed to overcome general practitioners in the diagnosis of complex medical cases, according to a study recently published in the scientific journal Science. DxO stands for Diagnosis Orchestrator and simulates a panel of clinical experts who collaborate to arrive at a diagnosis. Practice exercises before surgery improves results and reduces recovery time, says new researc…
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