This paper is in the following e-collection/theme issue:

Quality Improvement (288) Ethical, Legal, and Social Issues in AI (91) Medical Device Adverse Events, Errors, Safety (21) Regulatory Issues and Medical Device Certification (8) Machine Learning (2001) Policy (74)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67552, first published .
Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning–Enabled Medical Device Recalls in the United States: Implications for Future Governance

Authors of this article:

Wei-Pin Chen1 Author Orcid Image ;   Wei-Guang Teng2 Author Orcid Image ;   C Benson Kuo3 Author Orcid Image ;   Yu-Jui Yen2 Author Orcid Image ;   Jian-Yu Lian1 Author Orcid Image ;   Matthew Sing1 Author Orcid Image ;   Peng-Ting Chen1, 4 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Wei-Pin Chen   1 , MSc ;   Wei-Guang Teng   2 , PhD ;   C Benson Kuo   3 , PhD ;   Yu-Jui Yen   2 , MSc ;   Jian-Yu Lian   1 , MSc ;   Matthew Sing   1 , MSc ;   Peng-Ting Chen   1, 4 , PhD

1 Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan

2 Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan

3 Department of Regulatory and Quality Sciences, University of Southern California, Los Angeles, CA, United States

4 Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan

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