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

American Heart Association

  106
  0

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

More abstracts on this topic:
Community based detection of rhythm disorders

Svennberg Emma, Chow Clara, Chung Mina, Winter Michiel

AI Based Detection of Concealed Long QT Syndrome in an EHR System

Ackerman Michael, Noseworthy Peter

More abstracts from these authors:
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

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

Aminorroaya Arya, Oikonomou Evangelos, Biswas Dhruva, Jastreboff Ania, Khera Rohan

You have to be authorized to contact abstract author. Please, Login
Not Available