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Cardio is a cloud-based platform that includes four modules for the computer-assist diagnosis (CADx) of valvular pathologies and eight key cardiac measurements. Its advanced AI algorithms can evaluate a patient’s left ventricle ejection fraction, right and left ventricular dimensions, right ventricular fractional area change, atrial areas, ascending aorta diameter and inferior vena cava diameter in addition to identifying aortic stenosis or mitral, tricuspid or aortic regurgitation.

The platform, trained on more than 24 million echocardiography clips, was designed to help even inexperienced users scan and diagnose a majority of common heart issues within minutes without leaving the patient’s side. In addition, it can communicate with equipment manufactured by a variety of vendors, directing data to a physician’s electronic health record or PACS system as needed.

Ehud Raanani, MD, co-founder of AISAP and director of the Leviev Cardiovascular and Thoracic Center at Sheba Medical Center, said in a statement. “It marks a big step in our goal of delivering point-of-care assisted diagnosis, or POCAD, with unparalleled scalability and accessibility—from the largest academic centers to the most remote rural locations.”

 Smadar Kort, MD, system director of noninvasive cardiac imaging at Stony Brook Medicine, who has experience with the platform

said:

“We know that structural heart disease and heart failure are the leading causes of hospitalization and morbidity in the U.S. Enabling a wide variety of qualified physicians to quickly and accurately diagnose these conditions at the bedside could lead to earlier detection and treatment, and better patient outcomes, as well as greater efficiencies and cost savings to health systems, while ultimately saving countless lives.”