Oversight of artificial intelligence in medicine: A review of frameworks (Preprint) (original) (raw)

2022

Abstract

BACKGROUND Artificial intelligence (AI) is rapidly expanding in medicine even while lacking formal oversight. OBJECTIVE We sought to identify and describe considerations for the oversight of AI in medicine. We also explored where along the translational process (i.e., AI development, reporting, evaluation, implementation, and surveillance) these considerations were targeted. METHODS We conducted a targeted review of frameworks for the oversight of AI in medicine. The search included key topics such as ‘artificial intelligence,’ ‘machine learning’, ‘guidance as topic’, ‘translational science’, ‘medical device legislation’, and ‘evaluation study,’ and spanned the time period 2014-2021. Frameworks were included if they described translational considerations for AI. The included frameworks were summarized descriptively. Content analysis was used to identify considerations for the oversight of AI in medicine. An evaluation matrix methodology was used to map each consideration across the ...

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