Stanford Seminar - Deep Learning for Medical Diagnoses
Offered By: Stanford University via YouTube
Course Description
Overview
Syllabus
Introduction.
Traditional Model of Clinical.
Diagnostic Procedure with Al.
Information Gathering Step.
Diagnostic Testing with Al.
Machine Learning Framework.
Next Paradigm shift?.
Arrhythmia detection.
Future of continuous monitoring.
Holter Monitor.
Amount of data capture.
Automated Detection Challenges.
Previous Approaches.
Setup.
Network Architecture.
Residual Networks.
Wide ResNets.
Dataset - Test Set.
Medical Errors.
Chest Radiograph Interpretation.
Chest X-ray exam.
Detecting Abnormalities.
X-ray findings of pneumonia.
Detecting Pneumonia.
DenseNets.
Dataset - Train Set.
Evaluation -- Limitations.
Class Activation Maps.
Interpretations.
Future of diagnostic access.
Diagnosis Clinical Decision Support.
Knee MR.
Input.
Dataset Training on.
Interpretability.
External Validation.
Diagnostic Future with Al.
Taught by
Stanford Online
Tags
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