Previously submitted to: JMIRx Med (no longer under consideration since Sep 17, 2026)
Date Submitted: Oct 12, 2025
Open Peer Review Period: Oct 16, 2025 - Dec 11, 2025
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Artificial Intelligence and Public Health Research: A Systematic Literature Review
ABSTRACT
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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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.