Scientific Sessions 2024  /  Artificial Intelligence and Arrhythmias: Prediction, Procedures and Beyond  /  Explainable AI: Shedding light on mechanisms and likelihood of AF recurrence
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Explainable AI: Shedding light on mechanisms and likelihood of AF recurrence

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  • Baykaner, Tina  ( Stanford University , Palo Alto , California , United States )
  • Narayan, Sanjiv  ( Stanford University , Stanford , California , United States )
    • Author Disclosures:
    Tina Baykaner: DO NOT have relevant financial relationships | Sanjiv Narayan: No Answer
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:
In the EP Lab: Leveraging AI during procedures - where are we, where are we going?

Zei Paul, Saluja Deepak

Digital twins from tissue to organ: predicting mechanisms of AF

Niederer Steven, Trayanova Natalia

More abstracts from these authors:
I, Robot: Artificial Intelligence in Cardiac Monitoring - The Future is Here

Kabra Rajesh, Baykaner Tina

Efficacy and Safety of Catheter Ablation in Patients with Hematologic Malignancies

Paranjpe Ishan, Rangan Ekanath, Narayan Sanjiv, Baykaner Tina, Fazal Muhammad

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