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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

Journals

  1. Zhai R, Hua C. Regulatory Challenges of AI Application in Watershed Pollution Control: An Analysis Framework Using the SETO Loop. Water 2025;17(21):3134 View
  2. Nakajo M, Hirahara D, Hirahara M, Eizuru Y, Tani A, Kanzaki F, Takumi K, Kamimura K, Yoshiura T. Artificial intelligence in oncological positron emission tomography: advancing image analysis and interpretation. Clinical Radiology 2026;92:107187 View
  3. Zhang L, Yan J. Approval of AI-Based Medical Devices in China From 2020 to 2025: Retrospective Analysis. JMIR Medical Informatics 2026;14:e85538 View
  4. Nightingale A, Bird G. Industry perspective: Wearable electronic devices for remote patient monitoring. APL Electronic Devices 2026;2(1) View