Cardiology

A UK study reports encouraging stent expansion with lithotripsy for severely calcified left main coronary disease.

A validation study found that contactless vital sign monitoring accurately measured respiratory and heart rates while maintaining performance across a range of realistic care scenarios.

A multimodal AI model combining tongue and facial photographs achieved excellent accuracy for coronary heart disease screening, outperforming single modality approaches while providing interpretable decision making.

An AI model identified atrial cardiomyopathy location and severity using simulated heart electrical recordings.

A cross-sectional study found that poorer sleep quality was significantly associated with lower self-care scores in patients with heart failure, suggesting sleep may be an important target for future interventions.

Machine learning models accurately predicted postoperative delirium in patients undergoing cardiac surgery, while clustering analysis identified distinct patient subgroups with substantially different delirium burdens.

A new AI-powered cardiovascular platform combines ASCVD risk assessment, bilingual education, and clinician dashboards to improve patient engagement, cardiovascular health literacy, and early risk detection.

Routine screening during coronary angiography identified uncontrolled cardiovascular risks and undiagnosed diabetes.