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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 .
Female surgeon in blue scrubs and mask using a medical touchscreen.

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
  5. Rosen K, Mandl K. What FDA Clearance Does, and Does Not, Mean for Artificial Intelligence. Annals of Internal Medicine 2026;179(6):895 View
  6. Kaiser L, Wendler T, Hardiansyah D, Hellwig D, Lohmann P, Nekolla S, Papp L, Ritt P, Shiyam Sundar L, Tran-Gia J, Zatcepin A, Miederer I. Applications of artificial intelligence in nuclear medicine. Zeitschrift für Medizinische Physik 2026;36(3):280 View
  7. Hua L, Zhao C, Yuan Z, Su H, Cai M, Ren X. Artificial intelligence in membranous nephropathy: transforming clinical management toward precision medicine. Frontiers in Medicine 2026;13 View
  8. Li J, Guo Z, Guo Y, Xiao R, Ding Y, Shi W, Liu W. The absence of full lifecycle risk management for AI-based medical devices in radiology. npj Digital Medicine 2026;9(1) View
  9. Jung S, Son K. Regulatory Approaches to Cybersecurity Risk Management for AI-Enabled Medical Device Software in Korea, the United States, and the European Union: Comparative Document Analysis. JMIR Medical Informatics 2026;14:e94846 View
  10. Arriola-Montenegro J, Ratishvili T, Kattah A. Artificial Intelligence in Peritoneal Dialysis: Applications, Algorithms, and Future Directions. Blood Purification 2026:1 View
  11. de Oliveira M, Roquette C, Matela N, Cruz C. Transparency and Explainability in Human Factors — A Systematic Review of Usability Assessment Practices for AI Medical Devices. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2026;15(1):62 View
  12. Lynch N, Loughran R, McHugh M, McCaffrey F. Design and Expert Validation of an AI Change Management Process (AI-CMP) Assessment for AI-Enabled Medical Devices: Towards Agentic AI Change Management with Human Oversight. Design and Artificial Intelligence 2026:100101 View
  13. Sebin B, Karaman Sebin I. From model failure to system harm: operationalizing a sociotechnical pathway for healthcare AI safety. Frontiers in Artificial Intelligence 2026;9 View
  14. Rowe M, Rowe D. Radiation Oncology Device Recalls (2015-2025): Software and Artificial Intelligence as Emerging Drivers of Postmarket Safety. Practical Radiation Oncology 2026 View
  15. Tran N, Rashidi H. Artificial Intelligence as a Clinical Tool in Practice. Clinics in Plastic Surgery 2026 View

Conference Proceedings

  1. de Oliveira M. Proceedings of the 2026 ACM Interactive Health Conference. A Multidimensional Approach to Usability Engineering, Clinical Performance and Human-AI Interaction in AI-Enabled Medical Devices View