Scientific Sessions 2025  /  Plaque Imaging: Finding the Best Metrics and Algorithms  /  Can we apply AI to better quantify Plaque?
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American Heart Association

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Can we apply AI to better quantify Plaque?

  • De Cecco, Carlo  ( Emory University , Atlanta , Georgia , United States )
  • Lu, Michael  ( MASSACHUSETTS GENERAL HOSPITAL , Boston , Massachusetts , United States )
  • Varga-szemes, Akos  ( MUSC , Charleston , South Carolina , United States )
    • Author Disclosures:
    Carlo De Cecco: DO have relevant financial relationships ; Research Funding (PI or named investigator):Siemens:Active (exists now) ; Research Funding (PI or named investigator):Cleerly:Active (exists now) | Michael Lu: No Answer | Akos Varga-Szemes: No Answer
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Plaque Imaging: Finding the Best Metrics and Algorithms

Monday, 11/10/2025 , 08:00AM - 09:15AM

Cardiovascular Seminar

More abstracts on this topic:
Beyond acquisition: metrics to predict and prognosticate plaque-related outcomes

Slipczuk Leandro, Blaha Michael

Plaque characterization implication in Diverse Populations

Raman Subha, Thomas Victoria

More abstracts from these authors:
AI in Pulmonary Embolism – are we ready ?

De Cecco Carlo, Abbara Suhny, Rubin Geoffrey

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

De Cecco Carlo, Garcia Ernest, Whelton Seamus

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