Systematic literature review reveals thematic clusters in AI applications in public health, suggesting future research directions.
UNSTRUCTURED Artificial intelligence (AI) is set to transform various aspects of our lives, particularly in the field of public health. In recent years, there has been a notable increase in research at the intersection of AI and public health. This study aims to investigate the application of AI in public health, its impact on this field, and future research directions related to AI and public health. We conducted a systematic literature review to examine research in this area. Our findings indicate that studies can be categorized into five thematic clusters: AI model development, public health threats and outbreaks, systematic reviews, social and ethical issues in public health, and a cluster focusing on governance, policy, and innovation. Furthermore, we identified gaps in the existing literature and highlighted areas for future research.
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Dasgupta et al. (2025) studied this question.
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