Overview
This course covers deep learning methods for understanding electrocardiograms and echocardiograms. The learning outcomes include developing and evaluating convolutional neural networks for ECG interpretation and computer vision systems for analyzing echocardiogram videos. The course teaches skills in applying deep learning and computer vision techniques to cardiovascular imaging data. The teaching method involves a talk followed by interactive discussions and Q&A sessions. The intended audience includes individuals interested in AI, medicine, and cardiovascular imaging.
Syllabus
Introduction
Overview
What are electrocardiograms
Current AI systems
What is an ECG
Results
Analysis
Lime Explainability
Echocardiograms
Questions
Taught by
Stanford MedAI