Deep Learning-Based Statistical Robustness Evaluation of Intensity-Modulated Proton Therapy for Head and Neck Cancer.

Our proposed DL-based method for evaluation of the robustness of proton therapy plans provides precise, rapid predictions of percentile dose for a given confidence level regardless of the beam arrangement and cancer site. This versatility positions our model as a valuable tool for evaluating the robustness of proton therapy across various cancer sites.