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This study is a systematic review and meta-analysis of previously published, anonymized aggregate data. No original data involving human participants were collected by the authors; thus, ethical approval was not required.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable. This manuscript contains no individual person\u2019s data in any form (including individual details, images, or videos). All data presented are aggregated or de-identified.","order":2,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"A complete list of all supporting files, datasets, code, and documentation\u2014organized by category with detailed descriptions\u2014is provided in the supporting information Index File (available at [https:\/\/doi.org\/10.17605\/OSF.IO\/VG3RC] and included as a separate document).","order":3,"name":"Ethics","label":"Supporting information","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This review adheres to the following reporting guidelines, with completed checklists provided in File\n                      \n                      :- PRISMA-DTA 2020 for systematic reviews of diagnostic test accuracy.- CLAIM (Checklist for AI in Medical research).- PROBAST-AI for risk of bias assessment in prediction model studies.- TRIPOD+AI for transparent reporting of a multivariable prediction model for individual prognosis or diagnosis using AI.- GRADE-AI for assessing the certainty of evidence.- STARD-AI for diagnostic accuracy studies using AI.","order":5,"name":"Ethics","label":"Reporting Guidelines","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"410"}}