Stroke is a leading cause of global morbidity and mortality, disproportionately impacting lower socioeconomic groups. In this study, we evaluated three generative LLMs—GPT, Claude, and Gemini—across four stages of stroke care: prevention, diagnosis, treatment,…
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Sepsis, a life-threatening disease caused by infection, presents a major global health challenge due to its high morbidity and mortality rates. A rapid and precise diagnosis of sepsis is essential for better patient outcomes….
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Effective hemodynamic management in the intensive care unit requires individualized targets that adapt to dynamic clinical conditions. We developed Dynamic Cohort Ensemble Learning (DynaCEL), a real-time framework that recommends personalized heart rate and systolic…
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Post-discharge management of coronary artery disease (CAD) remains clinically challenging, with digital healthcare’s efficacy underexplored. This study analyzed 16,797 CAD patients enrolled in the HeartMed Digital Management System (June 2018–September 2022), comparing outcomes between…
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Routinely collected blood tests can reflect underlying pathophysiological processes. We demonstrate that the dynamics of routinely collected blood tests hold prediction validity in acute Spinal Cord Injury (SCI). Using MIMIC data (n = 2615) for modeling…
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Chronic obstructive pulmonary disease (COPD) leads to high rates of emergency department (ED) visits and hospitalizations. This study evaluated a community-based digital health intervention’s association with acute care utilization among patients with moderate to…
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Cognitive bias accounts for a significant portion of preventable errors in healthcare, contributing to significant patient morbidity and mortality each year. As large language models (LLMs) are introduced into healthcare and clinical decision-making, these…
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News
Lee Health (FL) launches Leah, an AI-powered conversational engagement platform that helps patients with hip, knee, and shoulder pain navigate the system’s services and receive guidance and education.
CONCERN EWS, an AI-powered early warning…
A new algorithm-based biological ageing clock developed in Singapore has shown potential to better predict mortality and health outcomes by only using clinical data. Researchers from the National University of Singapore’s Yong Loo Lin School…
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Stroke remains a leading global cause of mortality, with ischemic stroke as the most common subtype. Atrial fibrillation (AF) increases ischemic stroke risk due to thrombus formation in the left atrium (LA), particularly in…
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