Methodological review demonstrates adaptive platform trials improve continuous evaluation of clinical AI systems, highlighting a scalable approach to evidence generation.
Traditional diagnostic and prognostic trials cannot keep pace with rapidly evolving clinical artificial intelligence (AI) systems, particularly generative tools and continuously updating models. Adaptive platform trials offer a scalable framework for continuous, comparative, equity-focused evaluation by testing multiple AI tools and updates head-to-head within a master protocol that standardizes populations, endpoints, decision rules, and governance, while allowing dynamic addition or removal of arms and reuse of control groups.
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Sande et al. (2026) studied this question.
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