Scientific Sessions 2025  /  Leveraging Artificial Intelligence in Cardiac Imaging  /  Emerging AI-support tools for maximizing Clinical Image Acquisition Efficiency
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American Heart Association

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Emerging AI-support tools for maximizing Clinical Image Acquisition Efficiency

  • Narang, Akhil  ( UNIVERSITY OF CHICAGO , Highland Park , Illinois , United States )
  • Sengupta, Partho  ( WVU Hospital , Morgantown , West Virginia , United States )
  • Ouyang, David  ( Cedars-Sinai Medical center , Los Angeles , California , United States )
    • Author Disclosures:
    Akhil Narang: DO have relevant financial relationships ; Speaker:Bristol Myers Squibb:Past (completed) ; Speaker:Abbott Labs:Past (completed) ; Speaker:Edwards Life Sciences:Past (completed) | Partho Sengupta: No Answer | David Ouyang: DO have relevant financial relationships ; Consultant:InVision:Active (exists now) ; Consultant:Pfizer:Past (completed) ; Consultant:Ultromics:Past (completed) ; Consultant:EchoIQ:Past (completed) ; Consultant:AstraZeneca:Active (exists now)
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Leveraging Artificial Intelligence in Cardiac Imaging

Monday, 11/10/2025 , 01:30PM - 02:45PM

Cardiovascular Seminar

More abstracts on this topic:
Beyond acquisition: AI-based imaging tools to predict and prognosticate outcomes

De Cecco Carlo, Garcia Ernest, Whelton Seamus

Cardiovascular AI based Imaging and the End user experience

Leiner Tim, Delling Francesca, Zareba Karolina, Wiens Jenna

More abstracts from these authors:
Deep learning for cardiac imaging applications – building computer vision models

Andrikopoulou Efstathia, Ouyang David

Clinical Trials for AI Algorithms: A Necessary Step (A Debate)

Califf Robert, Ouyang David, Diao James

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