Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...
Learn how machine learning ECG fatigue detection achieved 97.96% accuracy in older adults using a machine learning model.
Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn baby's health, including whether genetic changes may be linked to a ...
BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during routine electrocardiography may allow earlier ...
We've been training with the Galaxy Watch 9, and there are some features we like and dislike so far.
Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and ...
Clinical research has long rested on a familiar triad: the randomized trial, the carefully curated cohort, and the cross-sectional survey. Each has its ...
A machine learning–derived model accurately predicted postcardiotomy cardiogenic shock (PCCS) using a focused set of ...
Smart digital health has reshaped patient monitoring, but it faces a fundamental trade-off between device intelligence and continuous, energy-efficient monitoring. Inspired by self-sustaining ...
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