How AI can help heart teams identify TAVR patients
As transcatheter aortic valve replacement (TAVR) gains more and more momentum as a go-to treatment option, many patients with severe aortic stenosis are still missing out on the procedure. Can advanced artificial intelligence (AI) algorithms make a difference?
That was the question behind ALERT, a clinical trial presented at ACC.26 and simultaneously published in JACC.[1] Lead author Wayne B. Batchelor, MD, a veteran interventional cardiologist and president of Inova’s medicine service line, and colleagues aimed to learn if AI software from Chicago-based Tempus could be used to alert clinicians when suspicious findings turn up on a patient’s echocardiography results.
Batchelor is participating in an upcoming webinar to discuss ALERT at length and explore the potential impact AI-enabled clinician alerts can have on patient care. He will be joined by Brian Lindman, MD, medical director of the Structural Heart and Valve Center at Vanderbilt University Medical Center and an ALERT co-author, and Kristin Pasquarello, PA, administrative director of the Heart Valve Center at St. Francis Hospital.
Other topics expected to be explored during the webinar include current gaps in TAVR care and the steps involved with helping structural heart programs implement AI.
Cardiovascular Business and Medtronic are hosting the free webinar on Wednesday, July 22, at 6 p.m. ET. A live Q&A session will follow the presentation.
Click here to register or view additional details.
Michael has more than 19 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.