{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["73(5)"],"submitter":["Yang B"],"pubmed_abstract":["The CONSORT 2010 statement is a guideline that provides an evidence-based checklist of minimum reporting standards for randomized trials. With the rapid growth of Artificial Intelligence (AI) based interventions in the past 10 years, the CONSORT-AI extension was created in 2020 to provide guidelines for AI-based randomized controlled trials (RCT). The Clin-STAR \"Around the EQUATOR\" series features existing reported standards while also highlighting the inherent complexities of research involving research of older participants. In this work, we propose that when designing AI-based RCTs involving older adults, researchers adopt a conceptual framework (CONSORT-AI-5Ms) designed around the 5Ms (Mind, Mobility, Medications, Matters most, and Multi-complexity) of Age-Friendly Healthcare Systems. "],"journal":["Journal of the American Geriatrics Society"],"pagination":["1365-1375"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12100690"],"repository":["biostudies-literature"],"pubmed_title":["Around the EQUATOR With Clin-STAR: AI-Based Randomized Controlled Trial Challenges and Opportunities in Aging Research."],"pmcid":["PMC12100690"],"pubmed_authors":["Lin S","Kado DM","Yang B","Muralidharan V","Park C"],"additional_accession":[]},"is_claimable":false,"name":"Around the EQUATOR With Clin-STAR: AI-Based Randomized Controlled Trial Challenges and Opportunities in Aging Research.","description":"The CONSORT 2010 statement is a guideline that provides an evidence-based checklist of minimum reporting standards for randomized trials. With the rapid growth of Artificial Intelligence (AI) based interventions in the past 10 years, the CONSORT-AI extension was created in 2020 to provide guidelines for AI-based randomized controlled trials (RCT). The Clin-STAR \"Around the EQUATOR\" series features existing reported standards while also highlighting the inherent complexities of research involving research of older participants. In this work, we propose that when designing AI-based RCTs involving older adults, researchers adopt a conceptual framework (CONSORT-AI-5Ms) designed around the 5Ms (Mind, Mobility, Medications, Matters most, and Multi-complexity) of Age-Friendly Healthcare Systems. ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 May","modification":"2026-07-15T08:56:56.533Z","creation":"2026-07-02T03:08:51.884Z"},"accession":"S-EPMC12100690","cross_references":{"pubmed":["39907384"],"doi":["10.1111/jgs.19362"]}}