Journal of Computer and Communications, 2025, 13(5), 66-83 https://www.scirp.org/journal/jcc ISSN Online: 2327-5227 ISSN Print: 2327-5219 DOI: 10.4236/jcc.2025.135005 May 26, 2025 66 Journal of Computer and Communications Cross-Regional Analysis of Global AI Healthcare Regulation Pravin Ullagaddi Plaster School of Business, University of the Cumberlands, Williamsburg, USA Abstract The rapid integration of artificial intelligence (AI) into healthcare has the po- tential to revolutionize pharmaceutical and medical device industries, offering unprecedented opportunities for innovation and improved patient care. How- ever, these advancements necessitate robust regulatory frameworks to ensure safety, efficacy, and ethical implementation. This paper critically examines key regulatory guidelines issued by leading agencies worldwide, including the U.S. Food and Drug Administration (FDA), European Medicines Agency (EMA), China’s National Medical Products Administration (NMPA), and Singapore’s Health Sciences Authority (HSA). Through comprehensive analysis of regula- tory approaches across diverse healthcare systems and governance models, we identify five critical convergent themes: risk-based frameworks, transparency requirements, lifecycle management strategies, ethical considerations, and global harmonization efforts. The research methodology combines systematic review of regulatory documents with analysis of implementation cases, reveal- ing significant variation in how jurisdictions balance innovation facilitation with patient protection. Our findings highlight both the challenges and op- portunities in developing internationally coherent AI governance, with par- ticular focus on emerging models from East Asia and other regions that offer alternative approaches to Western frameworks. By examining cross-regional regulatory strategies, this work provides practical insights for policymakers, industry leaders, and healthcare providers navigating the complex landscape of AI regulation. We conclude that successful AI integration in healthcare de- pends on adaptive regulatory models that address algorithmic bias, data pri- vacy, and equitable access while fostering innovation through international collaboration, regulatory sandboxes, and public-private partnerships. Keywords Artificial Intelligence, Machine Learning, Healthcare Regulation, FDA, EMA, NMPA, Healthcare Policy, Global Governance How to cite this paper: Ullagaddi, P. (2025) Cross-Regional Analysis of Global AI Health- care Regulation. Journal of Computer and Communications, 13, 66-83. https://doi.org/10.4236/jcc.2025.135005 Received: April 7, 2025 Accepted: May 23, 2025 Published: May 26, 2025 Copyright © 2025 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access