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

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

A JCI review traces biological age measurement from functional tests and blood biomarkers to epigenetic, proteomic, imaging, ...

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.

A cross-University paper led by researchers at Queen Mary University of London, published in the Journal of Physiology shows ...

Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...