Digital mental health interventions (DMHIs) are playing an increasingly important role in supporting mental healthcare. Despite their widespread adoption during and after the COVID-19 pandemic, there has been a lack of review focused on…
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Sleep disturbances are an underrecognized factor associated with reduced workplace productivity (“presenteeism”). Previous studies have largely relied on self-reported sleep data, limiting their scalability and accuracy. We investigated associations between smartphone-based sleep metrics and…
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Digital health tools such as remote patient monitoring (RPM) and digital health coaching (DHC) offer promising strategies for type 2 diabetes (T2D) management, yet little is known about how underserved Black adults experience these…
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Congenital and acquired heart disease affects approximately 1% of children worldwide, and right ventricular (RV) dysfunction is a common and complex manifestation in conditions such as congenital heart disease, pulmonary hypertension, and prematurity. Accurate…
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Clinical trial failures are frequently driven by patient heterogeneity and limited sample sizes that obscure treatment effects by diluting statistical power. We introduce NetraAI, a novel explainable artificial intelligence (AI) platform that integrates dynamical-systems…
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Large language models (LLMs) are increasingly used for mental health interactions, often mimicking therapeutic behaviour without regulatory oversight. Documented harms, including suicides, highlight the urgent need for stronger safeguards. This manuscript argues that LLMs…
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Digital health strategies are increasingly being adopted in Africa, but their consistency with best practice planning is poorly documented. 54 countries were screened; 48 had a plan in the Global Digital Health Monitor, and…
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The clinical application of the frailty phenotype and frailty index still has some limitations, and whether the classification of frailty based on metabolites is beneficial to the management of the frailty population remains unclear….
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Artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown outstanding performance in diagnostic and prognostic tasks, yet their black-box nature hampers clinical adoption. Meanwhile, a growing demand for explainable AI in medicine underscores the need for…
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Digital health interventions (DHIs) offer scalable, accessible approaches to promote healthy sleep in adolescents and to prevent or treat poor sleep and insomnia. Given the high prevalence of sleep problems and their bidirectional links…
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