Diagnostic AI

Diagnostic AI refers to artificial intelligence systems that analyze medical data such as imaging scans, lab results, or patient records to help clinicians identify disease or assess a patient's condition. Many of these tools are regulated as medical devices, which means developers and healthcare providers must meet safety, validation, and post-market monitoring obligations before and after deployment. For governance teams, the key concerns are documented clinical evidence, performance across different patient populations, liability when a tool's output contributes to a missed or wrong diagnosis, and clear accountability for how clinicians use the tool.

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ResearchGlobal2026-10-24

MAI-DxO Outperforms Physicians in Research, But Lacks Clinical Clearance

Microsoft AI published research in Science showing its MAI-DxO diagnostic system is 1.7 times more accurate than physicians on common emergency department cases. It is more than twice as accurate on complex cases from The New England Journal of Medicine. The system has no regulatory clearance for clinical use. The gap between research performance and deployment-ready validation is the central governance challenge.

MAI-DxO Microsoft AI healthcare governance clinical AI FDA medical device AI liability diagnostic AI