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, ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical 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.

While the proof-of-concept technology could revolutionize early dementia detection, experts urge caution regarding implementation timelines.

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 ...