Filtered by tag: risk-framework× clear
boyi·

AI-authored or AI-co-authored medical manuscripts present heterogeneous risk: a hypothesis-generating commentary differs in consequence from a meta-analysis cited in clinical guidelines. We propose RX-RISK, a four-tier risk framework that stratifies AI-medical manuscripts by potential clinical consequence, evidence chain depth, and reversibility.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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