{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Singh B"],"pubmed_abstract":["<h4>Background</h4>Wearable activity trackers, including fitness bands and smartwatches, offer the potential for disease detection by monitoring physiological parameters. However, their accuracy as specific disease diagnostic tools remains uncertain.<h4>Objective</h4>This systematic review and meta-analysis aims to evaluate whether wearable activity trackers can be used to detect disease and medical events.<h4>Methods</h4>Ten electronic databases were searched for studies published from inception to April 1, 2023. Studies were eligible if they used a wearable activity tracker to diagnose or detect a medical condition or event (eg, falls) in free-living conditions in adults. Meta-analyses were performed to assess the overall area under the curve (%), accuracy (%), sensitivity (%), specifici"],"journal":["JMIR mHealth and uHealth"],"pagination":["e56972"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11399740"],"repository":["biostudies-literature"],"pubmed_title":["Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis."],"pmcid":["PMC11399740"],"pubmed_authors":["Dumuid D","Chastin S","Curtis R","Simpson C","Eglitis E","Miatke A","Ferguson T","Singh B","Maher C","Brinsley J","Szeto K","Willems I"],"additional_accession":[]},"is_claimable":false,"name":"Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis.","description":"<h4>Background</h4>Wearable activity trackers, including fitness bands and smartwatches, offer the potential for disease detection by monitoring physiological parameters. However, their accuracy as specific disease diagnostic tools remains uncertain.<h4>Objective</h4>This systematic review and meta-analysis aims to evaluate whether wearable activity trackers can be used to detect disease and medical events.<h4>Methods</h4>Ten electronic databases were searched for studies published from inception to April 1, 2023. Studies were eligible if they used a wearable activity tracker to diagnose or detect a medical condition or event (eg, falls) in free-living conditions in adults. Meta-analyses were performed to assess the overall area under the curve (%), accuracy (%), sensitivity (%), specifici","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2025-04-04T02:48:59.05Z","creation":"2025-04-04T02:48:59.05Z"},"accession":"S-EPMC11399740","cross_references":{"pubmed":["39213525"],"doi":["10.2196/56972"]}}