Explore deep learning methods for electrocardiograms and echocardiograms in this Stanford University talk by Weston Hughes. Delve into the development and evaluation of a convolutional neural network for multi-class ECG interpretation that outperforms cardiologists and current algorithms. Examine a computer vision system for assessing biomarkers from echocardiogram videos. Gain insights into model interpretation and explanation techniques for both applications. Learn about the speaker's research focus on applying deep learning and computer vision to cardiovascular imaging data. Understand the structure of MedAI Group Exchange Sessions and their role in fostering critical discussions on AI and medicine. Discover how to stay updated on future sessions and connect with the MedAI community.
Overview
Syllabus
Introduction
Overview
What are electrocardiograms
Current AI systems
What is an ECG
Results
Analysis
Lime Explainability
Echocardiograms
Questions
Taught by
Stanford MedAI
