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

Viewpoints and Perspectives (615) E-Health Policy and Health Systems Innovation (386) Theoretical Frameworks and Concepts (400) Artificial Intelligence (2444) Health Information Governance (52) Ethical, Legal, and Social Issues in AI (132) Responsible Health AI (104) AI Governance and Policy (32)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90654, first published .
Co-Lifecycle Governance for Learning Medical AI: A Hybrid Convergence Framework for Adaptive Regulatory Oversight

Co-Lifecycle Governance for Learning Medical AI: A Hybrid Convergence Framework for Adaptive Regulatory Oversight

Co-Lifecycle Governance for Learning Medical AI: A Hybrid Convergence Framework for Adaptive Regulatory Oversight

Authors of this article:

Jae Hyun Lee1 Author Orcid Image ;   Boram Choi1 Author Orcid Image ;   Kwunho Jeong1 Author Orcid Image ;   Sang Won Suh2 Author Orcid Image ;   Ju Han Kim3 Author Orcid Image ;   Dae-Soon Son4, 5, 6 Author Orcid Image
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