Artificial intelligence (AI) helps produce echocardiograms more quickly and efficiently, with better-quality images and less fatigue for operators, shows the first prospective randomized controlled trial of AI-assisted echocardiography.

The Japanese study used Us2.ai software, developed from an 11-country research platform and supported by the Singapore Agency for Science, Technology and Research. This system and another newly developed AI system, PanEcho — developed at the Yale School of Medicine in New Haven, Connecticut, and the University of Texas at Austin — can automatically analyze a wide range of structures, functions, and cardiographic views. Studies of these two systems were presented at the American Heart Association (AHA) Scientific Sessions 2024.

"This is what happens when you introduce computer scientists to cardiologists," said David Ouyang, MD, a cardiologist at Cedars-Sinai Medical Center in Los Angeles, California. "It really allows for exciting new technologies to be developed." Ouyang was not involved with either of the studies presented, but led a previous study of another AI platform, Echo-Net Dynamic, developed at Stanford University in Palo Alto, California, which proved to be better than human interpretation of echocardiograms for left ventricular ejection fraction.

Source: MEDspace