San Francisco, CA, – UCSF researchers have developed an AI-based system to predict cardiac pumping performance, reducing the need for invasive testing and improving patient care. The system, called CathEF, utilizes deep neural networks to estimate left ventricular ejection fraction (LVEF) from standard angiogram videos. The researchers conducted a study…Read More
How AI Can Enhance Diagnostic Tools for Cardiologists
