Implementing an AI-ECG based algorithm to screen for left ventricular dysfunction in Kenya: a prospective cohort study - ...

The results have implications not only for resource-limited parts of the world, but also for wealthier countries, one expert ...

An artificial intelligence-enabled electrocardiogram-based algorithm performed well in the early detection of heart failure ...

Key take-awaysEarly detection of left ventricular systolic dysfunction (LVSD) can identify patients at risk of developing ...

A rapidly growing heart ... CVD risk score. So, it is still important to consider earlier interventions and emphasize preventive measures among young people who may be at risk for heart failure ...

Hearing loss is linked to a heightened risk of developing heart failure, with the psychological ... and leisure or social activities. Those with a score of 2 or 3 were classified as socially ...

Hearing loss is linked to a heightened risk of developing heart failure, with the psychological ... and leisure or social activities. Those with a score of 2 or 3 were classified as socially ...

The PREDICT-HFpEF risk calculator used 16 independent predictors ... Patients were divided into quintiles according to their PREDICT-HFpEF score for cardiovascular death or HF hospitalisation.

A team of Yale researchers at the Cardiovascular Data Science Lab at the School of Medicine recently published a study showcasing a new artificial intelligence tool for predicting the risk ... a ...

The team then tracked incidents of cardiovascular death, heart attack, heart failure and ... the increased risk. Researchers also noted that those with a higher SRI score (more regular sleepers ...

The authors found that the risk of heart attack, stroke, and heart failure all increased significantly ... a “Sleep Regularity Index” (SRI) score; lower scores indicate irregular sleep patterns.