An ML System for Radiotherapy Cancer Care - From Lab to Lives
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the development and deployment of a machine learning algorithm for radiation therapy treatment planning in prostate cancer care. Delve into a multiphase, blinded clinical study comparing ML-generated and human-generated treatment plans. Learn how treating physicians assessed these plans using standardized criteria and peer review processes. Discover the journey of this ML system from laboratory research to real-world clinical application, and understand its potential impact on delivering reproducible, high-quality cancer care. Gain insights from Chris McIntosh, a Computer Scientist specializing in AI applications in medicine, as he shares his expertise in transfer learning, meta learning, computer vision, and explainable AI for improving patient care.
Syllabus
An ML System for Radiotherapy Cancer Care From Lab to Lives
Taught by
Toronto Machine Learning Series (TMLS)
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