Resuscitation Science Symposium 2025  /  AI-Powered Life Saving: Revolutionizing Resuscitation Science  /  Using computational models to predict cardiac arrest in high-risk populations
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Using computational models to predict cardiac arrest in high-risk populations

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

Resuscitation Science Symposium 2025

2025

New Orleans, Louisiana

Session Info:

AI-Powered Life Saving: Revolutionizing Resuscitation Science

Saturday, 11/08/2025 , 01:15PM - 02:30PM

ReSS25 Plenary Session

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AI in CPR Optimization

Hsu Cindy

Deep Neural Networks for detecting VF/pVT in OHCA and IHCA

Krasteva Vessella

More abstracts from these authors:
Artificial Intelligence and Novel Deep Learning in the Prediction of Cardiac Arrest and Cardiac Arrest Survival

Trayanova Natalia, Shade Julie

Discussant

Trayanova Natalia

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