TU-D-204C-04: Machine Learning as New Tool for Predicting Radiotherapy Response

Radiotherapy outcomes are determined by complex interactions between treatment techniques, cancer pathology, and patient‐related physiological and biological factors. A common obstacle to building maximally predictive treatment outcome models for clinical practice in radiation oncology is the failure to capture this complexity of heterogeneous variable interactions and the ability to apply outcome models across different multi‐institutional...