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 ...
While the proof-of-concept technology could revolutionize early dementia detection, experts urge caution regarding implementation timelines.
Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...
Background Preparticipation cardiovascular evaluation (PPE) is widely recommended to reduce the risk of sudden cardiac events ...
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