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Using Artificial Intelligence to Predict Shock-Refractory Ventricular Fibrillation

Offered By: Cardiology University of Washington via YouTube

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Artificial Intelligence Courses Machine Learning Courses Cardiology Courses Predictive Analytics Courses Electrocardiography Courses

Course Description

Overview

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Explore the cutting-edge application of artificial intelligence in predicting shock-refractory ventricular fibrillation in this 56-minute grand rounds presentation. Delve into the meaning and consequences of shock-refractory VF, examine the therapeutic value and diagnostic limitations of CPR during cardiac arrest resuscitation, and discover how ECG analysis using AI during ongoing CPR can potentially estimate patient status and predict shock-refractory VF. Gain valuable insights from Jason Coult, PhD, as he presents this groundbreaking research at the Cardiology University of Washington on January 5, 2024.

Syllabus

Using Artificial Intelligence to Predict Shock-Refractory Ventricular Fibrillation


Taught by

Cardiology University of Washington

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