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American Heart Association

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Final ID:

Scalable AI-biomarkers for echocardiography to enable prediction, diagnosis, and prognostication

  • Oikonomou, Evangelos  ( Yale , New Haven , Connecticut , United States )
  • Sengupta, Partho  ( Rutgers RWJ Medical School , New Brunswick , New Jersey , United States )
  • Author Disclosures:
    Evangelos Oikonomou: DO have relevant financial relationships ; Ownership Interest:Evidence2Health, LLC:Active (exists now) ; Consultant:Caristo Diagnostics Ltd:Past (completed) ; Royalties/Patent Beneficiary:University of Oxford:Past (completed) ; Consultant:Ensight-AI, Inc:Active (exists now) | Partho Sengupta: DO have relevant financial relationships ; Advisor:RCE Technology:Active (exists now) ; Individual Stocks/Stock Options:RCE technologies:Active (exists now) ; Research Funding (PI or named investigator):RCE technologies:Active (exists now) ; Research Funding (PI or named investigator):HeartSciences:Active (exists now) ; Individual Stocks/Stock Options:HeartSciences:Active (exists now) ; Advisor:HeartSciences:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:
More abstracts from these authors:
PanEcho: Complete AI-enabled echocardiography interpretation with multi-task deep learning

Holste Gregory, Oikonomou Evangelos, Wang Zhangyang, Khera Rohan

Wearable-Echo-FM: An ECG-Echo Foundation Model for Single Lead Electrocardiography

Knight Elizabeth, Oikonomou Evangelos, Aminorroaya Arya, Khera Rohan

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