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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.
