News Release

A multimodal video-based AI biomarker for aortic stenosis development and progression

JAMA Cardiology

Peer-Reviewed Publication

JAMA Network

About The Study: In this cohort study of patients without severe aortic stenosis undergoing echocardiography or cardiac magnetic resonance imaging, a new artificial intelligence (AI)-based video biomarker was independently associated with aortic stenosis development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices. 

Authors: Rohan Khera, M.D., M.S., of the Yale School of Medicine in New Haven, Connecticut, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link 


Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflicts of interest and financial disclosures, and funding and support.

#  #  #

Media advisory: This study is being released to coincide with presentation at the American College of Cardiology’s Annual Scientific Session. 

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.