Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Researchers at Imperial are developing an AI-assisted smart T-shirt designed to improve detection of inherited heart rhythm ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve risk stratification.

When used as intended, an AI stethoscope enhanced the detection of cardiovascular disease — but low uptake and workflow challenges hampered effectiveness in a large pragmatic trial.

Eko Health, a leader in AI-powered cardiac and pulmonary disease detection, today announced a partnership with Wayne General ...

AutoChamber™ and AutoBMD™ AI solutions will soon be available on Precision Imaging Network, with AI-CVD® planned next.

A smart T-shirt with the power of AI could in the future detect heart conditions as people go about their daily lives, thanks to research at Imperial College London. Currently, people with symptoms ...

The AACE consensus statement emphasizes improvement of overall health in addition to weight reduction among adults with obesity and adiposity-based chronic disease.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

One initial treatment is a cardioversion, which involves using a defibrillator to deliver an electric shock to the heart to restore rhythm. It’s often successful, but sometimes only temporarily.