Assessing the Accuracy of an ML Model for Patient-Specific Quality Assurance Prediction: A Single-Center, Single-Linac Validation Study
The primary objective of this study was to develop and validate a machine learning (ML) model to predict gamma pass rates (GPR) for patient-specific quality assurance (PSQA), with the ultimate goal of advancing this model into an open-source tool that can sup...
Poster Program · Therapy Physics