AN ARTIFICIAL INTELLIGENCE SYSTEM TO SUPPORT ADAPTIVE RADIOTHERAPY

摘要

A computing system and related method for supporting in particular adaptive radiation therapy. An input interface (IN) of the system receives an input image. A machine learning module (MLM) predicts, based on the input image, a predicted dose distribution associated with a first planning technique or a first treatment modality. A comparator (COMP) compares a planned dose distribution as per a current treatment plan with the predicted dose distribution, to obtain a comparison result. The result allows user to gauge whether an actual re-planning would yield a dosimetric benefit before committing time or computational resources.