Cohort Study Links Clinical Performance Studies to Higher Recall Rates in FDA-Authorized AI Medical Devices
By
Yijun Ren, MSc, PhD1; Yi Zheng, MMed2; Daniel Windecker, MD3 et al
Summary
This cohort study analyzes characteristics of FDA-authorized AI-enabled medical devices, examining clinical evidence and factors associated with FDA recalls. The study found that among 218 devices with clinical performance studies, 7.8% were recalled, while only 2.6% of those without such studies were recalled. The research highlights the importance of clinical validation for AI medical devices and identifies patterns in recall rates based on study types, DICOM adherence, and other device characteristics.
Source

Key quotes
· 3 pulledClinical performance study: Studies conducted to evaluate the safety, effectiveness, and real-world performance of the AI device in a clinical setting
No 218 17 (7.8) Yes 505 13 (2.6) Missing 180 13 (7.2)
Development study: Research conducted during the design and training phase of the AI model to develop and validate its algorithms
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