Background: It has been shown that consumer wrist worn wearables are able to monitor sleep parameters and thus could be used as an alternative for polysomnography. Following this, wearables gained immense popularity over the…
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Each health system is a unique enterprise with its own mission, locale and payer mix. However, many of hospitals’ biggest challenges remain the same throughout the sector — low reimbursement rates, proliferating cyberattacks and…
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Sleep is crucial for physical and mental health, but traditional sleep quality assessment methods have limitations. This scoping review analyzes 35 articles from the past decade, evaluating 62 wearable setups with varying sensors, algorithms,…
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Background: Despite its importance to women’s reproductive health and its impact on women’s daily lives, the menstrual cycle, its regulation, and its impact on health remain poorly understood. As conventional clinical trials rely on…
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Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the leading cause of non-traumatic disability in young adults. Clinical laboratory tests and neuroimaging studies are the standard methods to…
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The trend involves telemedicine and IoT-connected wearable devices, expanding beyond remote consultations to a comprehensive approach to delivering patient care and treatment. In 2024, virtual hospital wards exemplify this trend, functioning as centralized hubs…
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Over the last ten years, there has been considerable progress in using digital behavioral phenotypes, captured passively and continuously from smartphones and wearable devices, to infer depressive mood. However, most digital phenotype studies suffer…
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Advancements in artificial intelligence (AI) and wearable technology hold immense promise in transforming the landscape of sleep apnea management. Mount Sinai researchers, backed by a $4.1 million NIH grant, are pioneering AI-driven models to…
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Mobile health (mHealth) with continuous real-time monitoring is leading the era of digital medical convergence. Wearable devices and smartphones optimized as personalized health management platforms enable disease prediction, prevention, diagnosis, and even treatment. Ubiquitous…
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Background: Multiparametric remote measurement technologies (RMTs), which comprise smartphones and wearable devices, have the potential to revolutionize understanding of the etiology and trajectory of major depressive disorder (MDD). Engagement with RMTs in MDD research…
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