It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...
A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
Abstract: In this paper we present fully automatic interpatient electrocardiogram (ECG) signal classification method using deep convolutional neural networks (CNN). ECG is simple and non-invasive way ...
A JCI review traces biological age measurement from functional tests and blood biomarkers to epigenetic, proteomic, imaging, ...
Abstract: Cardiovascular disease (CVD) is a prevalent and serious condition causing a significant global mortality rate. According to the World Health Organization (WHO), in 2022, CVD claimed the ...
Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...
Background Preparticipation cardiovascular evaluation (PPE) is widely recommended to reduce the risk of sudden cardiac events ...
Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...
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