A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to ...