When used as intended, an AI stethoscope enhanced the detection of cardiovascular disease — but low uptake and workflow challenges hampered effectiveness in a large pragmatic trial.
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Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
A smart T-shirt, being developed with funding from BHF, could reveal heart conditions in danger of being missed ...
AutoChamber™ and AutoBMD™ AI solutions will soon be available on Precision Imaging Network, with AI-CVD® planned next.
The AACE consensus statement emphasizes improvement of overall health in addition to weight reduction among adults with obesity and adiposity-based chronic disease.
Market Outlook and Growth TrajectoryThe global digital stethoscopes market is projected to expand at a compound annual growth rate of approximately 6% during the forecast period, driven by the rapid ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Acticor Sky and Rivacor Sky ICD and CRT‑D Family Integrate Physiological Pacing Strategies with Advanced Arrhythmia ...
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