Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
SleepFM showed especially strong results for Parkinson’s disease (C-index 0.89), dementia (0.85), hypertensive heart disease ...
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
Department of Cardiology, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China Aims: Cardiovascular disorders, particularly heart failure (HF), are a critical global ...
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