biostudies-literatureUnknown10Tornero-Costa R<h4>Background</h4>Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 pandemic has increased the risk of further erosion of the mental well-being in the population. Therefore, it is relevant to assess the current status of the application of AI toward mental health research to inform about trends, gaps, opportunities, and challenges.<h4>Objective</h4>This study aims to perform a systematic overview of AI applications in mental health in terms of methodologies, data, outcomes, performance, and quality.<h4>Methods</h4>A systematic search in PubMed, Scopus, IEEE Xplore, and Cochrane databases was conducted to collect records of use cases of AI for mental health disorder studJMIR mental healthe42045https://www.ebi.ac.uk/biostudies/studies/S-EPMC9936371biostudies-literatureMethodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.PMC9936371Azzopardi-Muscat NNovillo-Ortiz DTornero-Costa RLazeri LMartinez-Millana ATraver VfalseMethodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.<h4>Background</h4>Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 pandemic has increased the risk of further erosion of the mental well-being in the population. Therefore, it is relevant to assess the current status of the application of AI toward mental health research to inform about trends, gaps, opportunities, and challenges.<h4>Objective</h4>This study aims to perform a systematic overview of AI applications in mental health in terms of methodologies, data, outcomes, performance, and quality.<h4>Methods</h4>A systematic search in PubMed, Scopus, IEEE Xplore, and Cochrane databases was conducted to collect records of use cases of AI for mental health disorder stud2023-01-01T00:00:00Z2023 Feb2025-05-18T13:15:35.425Z2025-05-18T13:15:35.425ZS-EPMC99363713672956710.2196/42045