This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use…
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The following is a guest article by Kenji Taylor, MD, MSc, Clinical Consultant, Supervising Physician at Ubie
Artificial intelligence holds immense potential to revolutionize healthcare, offering precision medicine, accelerated drug discovery, and improved patient outcomes….
Mount Sinai Health System this week announced that it has named Lisa S. Stump to be its new Chief Digital Information Officer, as well as the Dean for Information Technology at Mount Sinai’s Icahn…
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To better understand the impact of Long COVID on an individual, we explored changes in daily wearable data (step count, resting heart rate (RHR), and sleep quantity) for up to one year in individuals…
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Nudging individuals without obvious symptoms of non-communicable diseases (NCDs) to undergo a health screening remains a challenge, especially in middle-income countries, where NCD awareness is low but the incidence is high. We assess whether…
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Generative artificial intelligence (AI) systems have performed well at many biomedical tasks, but few studies have assessed their performance directly compared to students in higher-education courses. We compared student knowledge-assessment scores with prompting of…
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Antimicrobial resistance (AMR) is a global health threat. This randomized controlled trial evaluates the impact of experiential virtual reality (VR) versus information provision via VR or leaflet on prudent antibiotic use. A total of…
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Physical activity or structured exercise is beneficial in a wide range of circumstances. Nevertheless, individual-level data on differential responses to various types of activity are not yet sufficient in scale, duration or level of…
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In pandemic mitigation, strategies such as social distancing and mask-wearing are vital to prevent disease resurgence. Yet, monitoring adherence is challenging, as individuals might be reluctant to share behavioral data with public health authorities….
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Transferring and replicating predictive algorithms across healthcare systems constitutes a unique yet crucial challenge that needs to be addressed to enable the widespread adoption of machine learning in healthcare. In this study, we explored…
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