As we consider the use of AI to anticipate the next pandemic, a 2026 review of AI in public health noted, “Challenges persist in the interpretability, explainability, generalizability and feasibility of these systems. Also, regulatory, legal, and ethical oversight have not kept pace with AI development. More significantly, existing gaps in health system infrastructure, information system quality, and workforce capacity impede real world implementation of AI for public health.”
AI in Public Health
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