Abstract
Artificial Intelligence (AI) presents unprecedented opportunities to transform healthcare worldwide, from improving diagnostic accuracy to expanding access in underserved regions. Despite this potential and growing investment, a significant gap persists between AI’s theoretical promise and its realised benefits in healthcare settings. This article examines the complex barriers impeding AI benefits realization in global health contexts, including ethical uncertainties, data infrastructure limitations, evidence quality concerns, and regulatory ambiguities. We analyze current initiatives addressing these challenges and highlight how technological solutions alone cannot resolve fundamental healthcare inequities. Drawing on the interdisciplinary perspectives and insights presented at the Global Health in the Age of AI Symposium hosted by the Cini Foundation and Yale Digital Ethics Center, we propose five core infrastructure requirements necessary for ethical AI implementation: robust data exchange; epistemic certainty with staff autonomy; actively protected healthcare values; validated outcomes with meaningful accountability; and environmental sustainability. These requirements form the foundation for a systems approach that balances technological advancement with ethical imperatives, contextual adaptability, and global equity considerations. We conclude that the successful integration of AI into healthcare demands coordinated action across sectors and borders, with careful attention to avoiding technological colonialism and ensuring AI serves as a force for health equity rather than widening existing disparities.
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These numbers are based on the TOP500 list which updates biannually, these numbers are from November 2024 https://top500.org/lists/top500/2024/11/.
For example, those produced by US Food and Drugs Administration (FDA); UK Medicines and Healthcare products Regulatory Agency (MHRA); China National Medical Products Administration (NMPA); Japan Pharmaceuticals and Medical Devices Agency (PMDA); Australia Therapeutic Goods Administration (TGA); and India Central Drugs Standard Control Organization (CDSCO).
The IMDRF includes regulatory authorities from Australia, Brazil, Canada, China, Europe, Japan, Russia, Singapore, South Korea, the UK, and the US.
This is 73% of the 98% of European member states that responded.
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Acknowledgements
This research is the outcome of the three-day symposium, entitled “Global Health in the Age of AI”, organised by the Fondazione Giorgio Cini, in collaboration with Yale’s Digital Ethics Center, on 7-9 November 2024, in the Island of San Giorgio Maggiore, Venice. The authors are very grateful for the support they received from the Foundation
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Morley, J., Hine, E., Roberts, H. et al. Global Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit. Minds & Machines 35, 31 (2025). https://doi.org/10.1007/s11023-025-09730-3
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DOI: https://doi.org/10.1007/s11023-025-09730-3