biostudies-literatureUnknown12Singh B<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 (%), specificiJMIR mHealth and uHealthe56972https://www.ebi.ac.uk/biostudies/studies/S-EPMC11399740biostudies-literatureReal-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis.PMC11399740Dumuid DChastin SCurtis RSimpson CEglitis EMiatke AFerguson TSingh BMaher CBrinsley JSzeto KWillems IfalseReal-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis.<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 (%), specifici2024-01-01T00:00:00Z2024 Aug2025-04-04T02:48:59.05Z2025-04-04T02:48:59.05ZS-EPMC113997403921352510.2196/56972