Background: Artificial intelligence (ai) is an umbrella term for various algorithms and rapidly emerging technologies with huge potential for workplace health promotion and prevention (WHPP). WHPP interventions aim to...
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Background: Artificial intelligence (ai) is an umbrella term for various algorithms and rapidly emerging technologies with huge potential for workplace health promotion and prevention (WHPP). WHPP interventions aim to improve people's health and well-being through behavioral and organizational measures or by minimizing the burden of workplace-related diseases and associated risk factors. Whileai has been thefocus of research in other health-related fields, such as public health or biomedicine, the transition of ai into WHPP research has yet to be systematically investigated. Objective: The systematic scoping review aims to comprehensively assess an overview of the current use of ai in WHPP. The results will be then used to point to future research directions. The following research questions were derived: (1) What are the study characteristics of studies on aialgorithms and technologies in the context of WHPP? (2) What specific WHPP fields (prevention, behavioral, and organizational approaches) were addressed by the aialgorithms and technologies? (3) What kind of interventions lead to which outcomes? Methods: A systematic scoping literature review (PRISMA-ScR [Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews]) was conducted in the 3 academic databases PubMed, Institute of Electrical and Electronics Engineers, and Association for Computing Machinery in July 2023, searching for papers published between January 2000 and December 2023. Studies needed to be (1) peer-reviewed, (2) written in English, and (3) focused on any ai-based algorithm or technology that (4) were conducted in the context of WHPP or (5) an associated field. Information on study design, aialgorithms and technologies, WHPP fields, and the patient or population, intervention, comparison, and outcomes framework were extracted blindly with Rayyan and summarized. Results: A total of 10 studies were included. Risk prevention and modeling were the most ident
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