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

April 18, 2024
in Technology and Engineering
Denise Maddox
By Denise Maddox Scienmag Editorial Profile - Mechanical Engineering
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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. 

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 https://media.jamanetwork.com/ 

(doi:10.1001/jamacardio.2024.0595)

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 



Journal

JAMA Cardiology

Subject of Research: Technology and Engineering

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

Article References: Original research article

Image Credits: AI Generated

DOI: Not provided

Keywords: Not provided

Cite Scienmag News

Denise Maddox. (April 6, 2024). A multimodal video-based AI biomarker for aortic stenosis development and progression. Scienmag. https://scienmag.com/a-multimodal-video-based-ai-biomarker-for-aortic-stenosis-development-and-progression/

Denise Maddox. "A multimodal video-based AI biomarker for aortic stenosis development and progression." Scienmag, 6 April 2024, https://scienmag.com/a-multimodal-video-based-ai-biomarker-for-aortic-stenosis-development-and-progression/. Accessed 3 September 2026.

Denise Maddox. "A multimodal video-based AI biomarker for aortic stenosis development and progression." Scienmag. April 6, 2024. https://scienmag.com/a-multimodal-video-based-ai-biomarker-for-aortic-stenosis-development-and-progression/

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