Summary
Directs the AMA to promote transparency and explainability for AI clinical decision support and to collaborate with specialty societies, regulators, developers, and other stakeholders on standards for evidence attribution, evaluation, validation, and the presentation of evidence quality and sources.
Healthcare Implications
Clinical AI developers and implementers should provide physicians with sufficient information to verify the evidence supporting recommendations, preserve source attribution, validate outputs against accepted evidence, and train clinicians to understand the utility and limitations of AI-assisted evidence synthesis.