Medical AI Governance Framework Prioritizes Clinicians, Not Patients
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Medical AI Governance Framework Prioritizes Clinicians, Not Patients

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A new framework for governing medical artificial intelligence, developed by Kyle Lam and his co-authors, classifies medical AI based on autonomy, automation, and operational scope. While the framework aims to establish regulatory and liability boundaries, it primarily focuses on allocating responsibility to clinicians, healthcare organizations, device manufacturers, and regulators, and does not systematically address patient rights.

The framework, detailed in a recent *Nature* publication (K. Lam et al. Nature 655, 1129–1132; 2026), proposes a structure for setting boundaries across different levels of AI capability. The authors acknowledge the importance of informed consent but maintain a central focus on the roles and responsibilities of established entities within the healthcare system.

The research appears in *Nature* 657, 566 (2026) and is available via subscription or individual purchase. The authors have declared no competing interests.

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