Quantum Hybrid Model Tested for ECG Arrhythmia Detection
A new study evaluates a hybrid quantum algorithm for ECG arrhythmia classification, finding it competitive at moderate resolutions but lacking ...
A new study evaluates a hybrid quantum algorithm for ECG arrhythmia classification, finding it competitive at moderate resolutions but lacking ...
Medicine is quietly acquiring a new kind of patient: one made entirely of data and mathematics. Digital twins, computational replicas ...
A new randomized trial suggests stopping antibiotics once patients with infective endocarditis are clinically stable can safely shorten treatment, though ...
A German mixed-methods study of 155 physicians, 111 nurses, and 390 cardiology inpatients reveals a striking paradox: the professionals most ...
A study of 511 endurance athletes and hypertensive patients finds that fibrosis biomarkers, especially galectin-3, are elevated in hypertension and ...
A YOLOv8-based deep learning model identified and measured children's coronary arteries on echocardiograms with expert-level accuracy in under two seconds ...
A deep learning model called DROID-RV measures right ventricular size and function from routine echocardiograms and predicts mortality, atrial fibrillation ...
A meta-analysis of six randomized trials covering 7,004 patients finds that left atrial appendage occlusion significantly raises ischemic stroke risk ...
A randomised double-blind trial shows the potassium binder sodium zirconium cyclosilicate enabled twice as many patients with chronic kidney disease ...
A systematic review of 313 cardiology clinical guidelines finds that only 1.9 percent mention LGBTQIA+ patients, despite evidence of elevated ...
A German registry study of 2,184 patients with mildly reduced ejection fraction heart failure found that season of admission did ...
A new CMR and machine-learning study shows that layer-specific heart muscle strain combined with routine blood tests can distinguish acute ...
Researchers in Würzburg developed CAFEx, a weakly supervised AI pipeline that uses an anatomical bottleneck to estimate cardiac ejection fraction ...
A prospective study found that an AI-enhanced 12-lead ECG score accurately identified angiographically significant coronary artery disease in patients undergoing ...
A three-parameter cardiac MRI model combining myocardial strain and tissue characteristics can identify hypertrophic cardiomyopathy patients whose outflow tract obstruction ...
A large cardiac magnetic resonance study shows that patients with mitral valve prolapse have impaired contraction at the base of ...
A German study of 159 heart transplant recipients found that a reduced left ventricular ejection fraction independently predicts lower stenting ...
A new meta-analysis of nearly 18,400 patients shows that central retinal artery occlusion carries a risk of new-onset atrial fibrillation ...
Credit: Nature Biomedical Engineering Engineers at the University of California San Diego developed a soft and stretchy ultrasound patch that ...
New USDA-NIFA funding brings together research, academics, and Extension to improve knowledge, access, and self-monitoring skills for hypertension managementCredit: Edwin ...
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