New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...
Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.
New findings from a DETOUR2 substudy show that minimally invasive percutaneous transmural arterial bypass (PTAB) may offer a ...
NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic ...
Background South Korea is the only country to mandate graphic health warnings on both cigarettes and heated tobacco products ...
Background Native aortic valve endocarditis continues to present significant operative challenges, often complicated by heart ...
Background The World Health Organization Surgical Safety Checklist (WHO-SSC) is a global tool designed to enhance teamwork ...
Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...
Background The optimal surgical strategy for mitral valve (MV) infective endocarditis (IE) remains uncertain. Although valve ...
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
An Excel-based actuarial model (1 million lives; 49% eligible; 10% treated) estimated semaglutide coverage could be ...
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