Scientific Sessions 2024  /  Artificial Intelligence and Arrhythmias: Prediction, Procedures and Beyond  /  Deep Neural Networks for knowledge discovery in ECG analysis
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American Heart Association

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Deep Neural Networks for knowledge discovery in ECG analysis

If you are unable to find a person you would like to add, enter their first name, last name, email, institution, role title, and Primary or Alternate below. Only add them once you have ensured you cannot find them in the AHA Database:: Zachi Attia
Mayo Clinic
attia.itzhak@mayo.edu
  • Kowlgi, Gurukripa  ( Mayo Clinic , Rochester , Minnesota , United States )
  • Yuan, Neal  ( UCSF , San Francisco , California , United States )
  • Attia, Zachi  ( Mayo Clinic , Rochester , Minnesota , United States )
    • Author Disclosures:
    Gurukripa Kowlgi: DO NOT have relevant financial relationships | NEAL YUAN: DO NOT have relevant financial relationships | Zachi Attia: DO have relevant financial relationships ; Consultant:Anumana:Active (exists now) ; Consultant:Eko:Active (exists now) ; Consultant:AliveCor:Active (exists now) ; Ownership Interest:XAI.health:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Artificial Intelligence and Arrhythmias: Prediction, Procedures and Beyond

Sunday, 11/17/2024 , 09:30AM - 10:45AM

Hall

More abstracts on this topic:
Panelist

Chugh Sumeet, Frankel David

Explainable AI: Shedding light on mechanisms and likelihood of AF recurrence

Baykaner Tina, Narayan Sanjiv

More abstracts from these authors:
Discovery and Clinical Evaluation of Novel Cardiovascular Health Tech Innovations

Yuan Neal, Attia Zachi

Artificial Intelligence in Cardiology: A New Era of Heart Health

Kowlgi Gurukripa

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