Discover how Hyperbolic Absolute Risk Aversion models risk tolerance, influences investment choices, and simplifies financial ...
A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...
Background Respiratory syncytial virus (RSV) causes substantial winter pressure on adult services. In the UK, RSV vaccination ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Objectives Female sex and anticitrullinated protein antibodies (ACPA) are associated with higher disease activity in ...
The incidence of severe maternal morbidity remains high among patients with sickle cell disease, but a novel risk calculator ...
A deep-learning serial CT biomarker improves survival prediction in immunotherapy-treated NSCLC and outperforms RECIST. Find ...
Timothy Fernandes, MD, MPH Director, Comprehensive Pulmonary Embolism Care Professor of Medicine UC San Diego Health San ...
Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...
AI may be able to predict a person’s risk of developing over a hundred serious medical conditions from data collected over ...
Pulmonary embolism (PE) is a common and potentially life-threatening condition with presentations ranging from mild symptoms to circulatory collapse. Early and accurate risk stratification is ...
Abstract: Remote patient monitoring (RPM) via smart consumer electronics is revolutionizing post-discharge and chronic disease management. Yet, current AI-powered RPM systems often lack transparency, ...
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