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Author

Allan Tucker

2 papers indexed here

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Review Open access Apr 2026

Identifying and understanding significant change due to drift when assessing AI models in healthcare: a narrative review

Artificial intelligence (AI) as a Medical Device (AIaMD) or medical devices that use AI algorithms—like any other medical device—must meet the requirements of medical device regulation. For regulatory purposes, the most relevant requirement is that the developer must provide evidence that the device performs as intende...

Ylenia Rotalinti, Johan Ordish, Xiao-Xuan Liu et al. · 1 citation
Review Open access Sep 2026

Healthcare AI risk management: an innovator-informed approach from frameworks to practical worksheets for proportionate regulatory evidence capture

A targeted evidence synthesis and framework mapping exercise drawing on review-level evidence, scientific databases and regulatory sources found that a codesigned worksheet approach can support proportionate evidence capture and iterative risk management while remaining adaptable across use cases and maturity levels.

Tahmina Zebin, Jin-Yang Wu, F. Colecchia et al. · 0 citations

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