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This study performed a systematic review to determine whether artificial intelligence (AI) could be a promising strategy for post-traumatic stress disorder (PTSD) diagnosis. Machine learning (ML) approaches have been used to diagnose and treat PTSD, an illness frequently misdiagnosed due to its complex clinical and biochemical aspects. The study utilized statistical approaches to aggregate the findings of included studies and give advice on crucial machine learning task implementation aspects. Databases such as Embase, MEDLINE, Scopus, PsycINFO, Compendex, and IEEE Xplore were searched through 18 October 2022. Only records published in English that employed machine learning-based models to conduct automated PTSD diagnosis and specified assessment measures used to report model performance were included.