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Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Smartphone Ecological Momentary Assessment and Wearable Activity Tracking in Pediatric Depression: Cohort Study

Fourth, while fitbit is a cost-effective way to collect sleep and activity information, it may overestimate sleep time (particularly sleep staging estimates [73,74] and activity levels [75] compared with gold standard methods (eg, polysomnography for sleep). We did not find differences between cases and controls in terms of number of steps taken or in terms of sleep staging; these might be true findings, or the lack of difference might be clouded by the measurement error associated with Fitbit devices.

Jimena Unzueta Saavedra, Emma A Deaso, Margot Austin, Laura Cadavid, Rachel Kraff, Emma E M Knowles

JMIR Form Res 2025;9:e66187

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption

By incorporating gold-standard references, such as histopathology results, ascertainment bias can be minimized, thereby enhancing the reliability of AI algorithms in detecting breast cancer [41]. As Thomassin-Naggara et al [33] noted, the integration of such standards strengthens training data and provides a solid foundation for the broader application of AI in clinical practice.

Serene Goh, Rachel Sze Jen Goh, Bryan Chong, Qin Xiang Ng, Gerald Choon Huat Koh, Kee Yuan Ngiam, Mikael Hartman

J Med Internet Res 2025;27:e62941