Prediction of dosimetric accuracy for VMAT plans using plan complexity parameters via machine learning

Abstract

NNs performed slightly better than RTA and MRA in terms of prediction error. These findings may contribute to increasing the efficiency of patient-specific quality-assurance procedures.