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

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Beyond acquisition: AI-based imaging tools to predict and prognosticate outcomes

De Cecco Carlo, Garcia Ernest, Whelton Seamus

Integrating NLP-based strategies into clinical imaging reporting

Van Assen Marly, Mansi Tommaso, Vliegenthart Rozemarijn

More abstracts from these authors:
Clinical Trials for AI Algorithms: A Necessary Step (A Debate)

Califf Robert, Ouyang David, Diao James

Deep learning for cardiac imaging applications – building computer vision models

Andrikopoulou Efstathia, Ouyang David

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