Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm.

By combined utilization of the SVR algorithm and thoracic radiomics features, patient-specific thoracic organ doses could be predicted accurately, fast, and robustly in one second even using one single CPU core.