en Original Research <span style=font-size:12pt><span new= roman= style=font-family: times=><b><span style=font-size:10.0pt><span cambria= style=font-family:><span style=color:#4f81bd>Aims:</span></span></span></b><span style=font-size:10.0pt><span cambria= style=font-family:> New developments in artificial intelligence offer promising prospects for transforming therapeutic approaches and enhancing outcomes for individuals with a range of abilities. Therefore, the aim of this systematic review was to investigate the applications of artificial intelligence in occupational therapy.</span></span></span></span><br> <span style=font-size:12pt><span new= roman= style=font-family: times=><b><span style=font-size:10.0pt><span cambria= style=font-family:><span style=color:#4f81bd>Information & Methods:</span></span></span></b><span style=font-size:10.0pt><span cambria= style=font-family:> In this systematic review, adhering to the PRISMA guidelines, we searched English-language studies regarding the use of artificial intelligence in occupational therapy, on February 18, 2024, using the databases PubMed, Embase, Scopus, and Web of Science. </span></span></span></span><br> <span style=font-size:12pt><span new= roman= style=font-family: times=><b><span style=font-size:10.0pt><span cambria= style=font-family:><span style=color:#4f81bd>Findings:</span></span></span></b><span style=font-size:10.0pt><span cambria= style=font-family:> Six eligible studies were included in this review. The artificial intelligence approaches used in these studies included artificial neural networks, multi-core learning models, deep learning models, machine learning models, and classification and regression trees. All the studies reported promising results regarding the use of artificial intelligence in evaluating and predicting return to work, alleviating symptoms, recovering social function, reducing disease recurrence, improving re-employment rates, and enhancing the overall health level of patients.</span></span></span></span><br> <span style=font-size:12pt><span new= roman= style=font-family: times=><b><span style=font-size:10.0pt><span cambria= style=font-family:><span style=color:#4f81bd>Conclusion:</span></span></span></b><span style=font-size:10.0pt><span cambria= style=font-family:> One of the most common issues with artificial intelligence models is their low accuracy and the potential for errors.</span></span></span></span><br> <span style=font-size:12pt><span style=background:white><span new= roman= style=font-family: times=><span style=font-family:Cambria,serif></span></span></span></span> Occupational Therapy,Rehabilitation,Artificial Intelligence,AI, 513 520 http://hehp.modares.ac.ir/browse.php?a_code=A-10-83565-1&slc_lang=en&sid=4