en Occupational Health Review Article <div style="text-align: justify;"><span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times="">Background:</span></span></span></b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""> In today&#39;s world, it is crucial to apply methods that help predict, assess, and prevent work-related musculoskeletal disorders (WMSDs) within the framework of risk management. The advent of artificial intelligence (AI) has introduced a new perspective on employee occupational health and safety. This study aimed to manage the risk of musculoskeletal disorders based on an AI-driven approach. </span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times="">Materials and Methods:</span></span></span></b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""> In the present study, the databases ISI Web of Science, Scopus, Medline (via PubMed), Science Direct, and Google Scholar were used. The keywords for the article searches included &#39;work-related musculoskeletal disorders (WMSDs)&#39;, &#39;artificial intelligence (AI)&#39;, &#39;WMSDs risk management&#39;, &#39;WMSDs prediction&#39;, &#39;WMSDs risk assessment&#39;, and &#39;WMSDs prevention&#39;. </span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times="">Results:</span></span></span></b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""> Studies have indicated that the application of AI for risk management&mdash;specifically in the prediction, identification, evaluation, and prevention of musculoskeletal disorders&mdash;has proven to be both effective and beneficial. Further, AI helps managers monitor the health status of their workforce and avoid placing excessive pressure on employees. Nevertheless, as with any new tool, AI has its drawbacks in risk management for disruptions. </span></span></span></span></span></span></span><br> <span style="font-size:10pt"><span style="line-height:150%"><span courier="" new="" style="font-family:"><span style="color:black"><b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times="">Conclusions:</span></span></span></b><span style="font-size:12.0pt"><span style="line-height:150%"><span new="" roman="" style="font-family:" times=""> The application of AI in WMSDs risk management warrants further investigation and testing to ensure that AI algorithms can be developed into a single, standardized solution with high reliability and accuracy for managing WMSDs risks.</span></span></span></span></span></span></span></div> Musculoskeletal Disorders,Risk Management,Artificial Intelligence,Prediction,Risk Assessment, 214 225 http://johe.rums.ac.ir/browse.php?a_code=A-10-726-1&slc_lang=en&sid=1 Mahnaz Shakerian Shakerian.mahnaz@gmail.com 22400319475328460013170 22400319475328460013170 No Assistant Prof, Dept. of Occupational Health and safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. Isfahan University of Medical Sciences Samira Barakat samirabarakat.ohs@gmail.com 22400319475328460013171 22400319475328460013171 Yes Student Research Committee, Dept. of Occupational Health and Safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. Isfahan University of Medical Sciences Elham Saber elhamsaber770@gmail.com 22400319475328460013172 22400319475328460013172 No Student Research Committee, Dept. of Occupational Health and Safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. Isfahan University of Medical Sciences