Ontology highlight
ABSTRACT: Importance
Devices enabled by artificial intelligence (AI) and machine learning (ML) are increasingly used in clinical settings, but there are concerns regarding benefit-risk assessment and surveillance by the US Food and Drug Administration (FDA).Objective
To characterize pre- and postmarket efficacy, safety, and risk assessment reporting for FDA-cleared AI/ML devices.Design and setting
This was a cross-sectional study using linked data from FDA decision summaries and approvals databases, the FDA Manufacturer and User Facility Device Experience Database, and the FDA Medical Device Recalls Database for all AI/ML devices cleared by the FDA from September 1995 to July 2023. Data were analyzed from October to November 2024.Main outcomes and measures
AI/ML repor
SUBMITTER: Lin JC
PROVIDER: S-EPMC12475944 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature