Cannabis use showed no significant association with ECG abnormalities in people with HIV infection, although women had higher odds of abnormal ECG findings than men. Men with HIV infection had higher ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Young competitive cyclists showed greater left ventricular enlargement and exercise‑related ECG changes than master cyclists; however, right ventricular size was similar, and weekly training hours ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been recently developed ...