From Pixels to Precision: AI in Echocardiography | JACC Baran

Hosts Mitsuaki Sawano, MD, Kentaro Ejiri, MD, Satoshi Shoji, MD, and Nobuhiro Ikemura, MD, welcome Dr. Yuki Sahashi of Cedars-Sinai Medical Center and the Ouyang Lab to discuss artificial intelligence automation of echocardiographic measurements and its cardiovascular implications. Dr. Sahashi provides expert commentary on the recent JACC publication (J Am Coll Cardiol. 2025; doi:10.1016/j.jacc.2025.07.053), which developed and validated 18 open-source deep learning models using 877,983 echocardiographic measurements from 155,215 studies across diverse datasets. This work demonstrates how AI can (1) reduce measurement variability, (2) improve efficiency, and (3) enable high-throughput cardiovascular research, while also raising critical questions around (1) clinical integration, (2) bias reduction, (3) regulatory standards, and (4) building trust in AI systems.