Large language models (LLMs) are poised to become a much bigger part of doctors’ clinical workflows, according to Scott Gottlieb, who served as commissioner of the FDA during the Trump administration.
He shared this take…
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Background: Despite the growing availability of smoking cessation apps, low engagement and cessation rates have remained a significant challenge. To address this issue, we used a user-centered design to iteratively develop a mobile app…
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Introduction
Artificial intelligence (AI) is transforming breast cancer detection by enhancing early diagnosis and alleviating radiologist workload, essential for improving patient outcomes and screening efficiency. A recent study, conducted by researchers from Norway and Denmark,…
Collaborative research in Asia has called for prudence in using popular large language model-based (LLM) chatbots as part of public health research and response.In a study, which findings were published in BMJ, researchers from…
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Clinical trial matching is the task of identifying trials for which patients may be eligible. Typically, this task is labor-intensive and requires detailed verification of patient electronic health records (EHRs) against the stringent inclusion…
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We developed and evaluated the Digital Platform for Exercise (DPEx): a decentralized, patient-centric approach designed to enhance all aspects of clinical investigation of exercise therapy. DPEx integrated provision of a treadmill with telemedicine and…
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In this case study, Ellescope, an alumnus company of the Accelerating FemTech programme, shares how their maternal health screening software is helping clinicians address health disparities in maternity. Overview High rates of maternal deaths and…
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Background: Effective management of non-communicable diseases requires ongoing coordination and monitoring, often facilitated by e-health technologies such as mobile health (mHealth) applications. The end-user Mobile Application Rating Scale (uMARS) is a valuable tool for…
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Accurate assessment of body composition is essential for evaluating the risk of chronic disease. 3D body shape, obtainable using smartphones, correlates strongly with body composition. We present a novel method that fits a 3D…
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Large language models (LLMs) have broad medical knowledge and can reason about medical information across many domains, holding promising potential for diverse medical applications in the near future. In this study, we demonstrate a…
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