Automatic Treatment Planning in a Human-like manner: Operating Treatment Planning Systems by a Deep Reinforcement Learning based Virtual Treatment Planner

An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method

Introduction: An accurate and fast radiation dose calculation is essential for successful radiation radiotherapy. The aim of this study was to implement a new graphic processing unit (GPU) based radiation therapy treatment planning for accurate and fast dose calculation in radiotherapy centers. Materials and Methods: A program was written for parallel runnin...

Unicystic Ameloblastoma: Differential Diagnosis and Treatment Planning

Unicystic ameloblastoma is a tumor of odontogenic origin. It is not a rare neoplasm and most often the lesion is asympthomatic. However, large lesions may cause painless swelling of the jaws. Here we report a case of unicystic ameloblastoma with pain, swelling of the posterior jaws along with teeth mobility. Samples of incisional biopsy of the lesion and also interaoperative frozen section were...

CT-Based Brachytherapy Treatment Planning using Monte Carlo Simulation Aided by an Interface Software

Introduction: In brachytherapy, radioactive sources are placed close to the tumor, therefore, small changes in their positions can cause large changes in the dose distribution. This emphasizes the need for computerized treatment planning. The usual method for treatment planning of cervix brachytherapy uses conventional radiographs in the Manchester system. Nowadays, because of their advantages ...

Deep Reinforcement Learning for Sepsis Treatment

Sepsis is a leading cause of mortality in intensive care units and costs hospitals billions annually. Treating a septic patient is highly challenging, because individual patients respond very differently to medical interventions and there is no universally agreed-upon treatment for sepsis. In this work, we propose an approach to deduce treatment policies for septic patients by using continuous ...

Dose Calculation Accuracy of Radiotherapy Treatment Planning Systems in Out-of-Field Regions