Summary
International consensus framework, developed by 100+ experts across 50+ countries and published in The BMJ, that defines six core principles for trustworthy medical AI (Fairness, Universality, Traceability, Usability, Robustness, Explainability) and 28 best practices covering the full lifecycle from design and development to validation, regulation, deployment, and post-market monitoring.
Healthcare Implications
Provides a structured reference for clinicians, health systems, researchers, and regulators when designing, evaluating, or procuring AI tools, helping them operationalize concepts like fairness, robustness, transparency, and usability and aligning local governance programs and validation protocols with a widely cited global benchmark for trustworthy health AI.