It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

The use of AI in health care is challenging because sensitive patient data is scattered across different systems, and its use ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

Researchers are using AI to uncover hidden patterns in EEG recordings that could help diagnose epilepsy earlier.

Background Preparticipation cardiovascular evaluation (PPE) is widely recommended to reduce the risk of sudden cardiac events ...