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Yale University

Lessons From the Regulatory Process for Medical Software for Image Analysis and AI

Yale University via YouTube

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Overview

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This seminar reviews regulation of medical software and AI in medical image analysis. It considers how quality procedures, risk management, usability engineering, and external validation used in regulated software development could improve AI research.

Syllabus

Introduction by Dr. Leonid Tsap NIH/NIA
Beginning of Talk
An Overview of the Regulatory Process for Medical Software
Machine Learning Background
Some Problems with Current Machine Learning Techniques
Using Lessons from the Regulatory Process to Improve AI Research
Discussion and Conclusions

Taught by

Yale Radiology and Biomedical Imaging

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