Scientific Sessions 2025  /  AI-enabled Digital Health for Scalable Management of Rhythm Disorders  /  AI-enabled assessment of ECG to define cardiovascular risk and outcomes
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American Heart Association

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Final ID:

AI-enabled assessment of ECG to define cardiovascular risk and outcomes

  • Aminorroaya, Arya  ( Yale School of Medicine , New Haven , Connecticut , United States )
  • Biswas, Dhruva  ( Yale School of Medicine , New Haven , Connecticut , United States )
    • Author Disclosures:
    Arya Aminorroaya: DO NOT have relevant financial relationships | Dhruva Biswas: DO NOT have relevant financial relationships
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

AI-enabled Digital Health for Scalable Management of Rhythm Disorders

Saturday, 11/08/2025 , 09:45AM - 11:00AM

Cardiovascular Seminar

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Community based detection of rhythm disorders

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More abstracts from these authors:
Tirzepatide Reduces the Risk of Major Adverse Cardiovascular Events: An Individual Participant Data Meta-analysis of Phase 3 Randomized Clinical Trials

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A Multimodal Artificial Intelligence Signature of Advanced Cardiac and Vascular Aging Defines Elevated Risk of Cardiovascular Disease

Perera Sudheesha, Biswas Dhruva, Dhingra Lovedeep, Aminorroaya Arya, Coppi Andreas, Khera Rohan

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