Deep learning system for predicting tumor response to radiation therapy

Abstract

A deep learning system for predicting tumor response to radiotherapy, consisting of: a multimodal medical data acquisition module for capturing imaging, genomic, pathological, clinical, and radiotherapy treatment data; a preprocessing module for normalizing and harmonizing the captured data; a predictive deep learning module for analyzing the captured data using artificial intelligence algorithms; and a clinical decision support module for generating personalized predictions of tumor response and treatment recommendations.