{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10"],"submitter":["Tornero-Costa R"],"pubmed_abstract":["<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 stud"],"journal":["JMIR mental health"],"pagination":["e42045"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9936371"],"repository":["biostudies-literature"],"pubmed_title":["Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review."],"pmcid":["PMC9936371"],"pubmed_authors":["Azzopardi-Muscat N","Novillo-Ortiz D","Tornero-Costa R","Lazeri L","Martinez-Millana A","Traver V"],"additional_accession":[]},"is_claimable":false,"name":"Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.","description":"<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 stud","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-05-18T13:15:35.425Z","creation":"2025-05-18T13:15:35.425Z"},"accession":"S-EPMC9936371","cross_references":{"pubmed":["36729567"],"doi":["10.2196/42045"]}}