![]() However, they perceived substantial barriers, such as a lack of available expertise, and risks, including inadequate regulation. ConclusionsĮxperts are cautiously optimistic about AI’s impacts on public health practice, particularly for improving disease surveillance. The themes included opportunities such as leveraging big data and improving interventions barriers to adoption such as confusion regarding AI’s applicability, limited capacity, and poor data quality and risks such as propagation of bias, exacerbation of inequity, hype, and poor regulation. We developed 137 codes, from which nine themes emerged. ![]() We conducted in-depth semi-structured interviews, iteratively coded the resulting transcripts, and analyzed the results thematically. We used a fundamental qualitative descriptive study design, enrolling 15 experts in public health and AI from June 2018 until July 2019 who worked in North America and Asia. Our objective was to determine the impacts of artificial intelligence (AI) on public health practice.
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