Scientific Sessions 2024  /  Artificial Intelligence and Arrhythmias: Prediction, Procedures and Beyond  /  Artificial Intelligence and Novel Deep Learning in the Prediction of Cardiac Arrest and Cardiac Arrest Survival
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Artificial Intelligence and Novel Deep Learning in the Prediction of Cardiac Arrest and Cardiac Arrest Survival

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  • Trayanova, Natalia  ( JOHNS HOPKINS UNIVERSITY , Baltimore , Maryland , United States )
  • Shade, Julie  ( JOHNS HOPKINS UNIVERSITY , Baltimore , Maryland , United States )
    • Author Disclosures:
    Natalia Trayanova: DO NOT have relevant financial relationships | Julie Shade: 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

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Panelist

Chugh Sumeet, Frankel David

Deep Neural Networks for knowledge discovery in ECG analysis

Kowlgi Gurukripa, Yuan Neal, Attia Zachi

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Epicardial Adipose Tissue Association with Fibrotic Substrate Distribution and Rotor-attracting Locations: A Study Using Contrast Computed Tomography (CCT) Scans and Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE-MRI)-based Digital Twins of Persistent Atrial Fibrillation

Sakata Kensuke, Prakosa Adityo, Yamamoto Alves Pinto Carolyna, Ali Syed Yusuf, Loeffler Shane, Kholmovski Eugene, Trayanova Natalia

Digital twins from tissue to organ: predicting mechanisms of AF

Niederer Steven, Trayanova Natalia

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