First experience of autonomous, un-supervised treatment planning integrated in adaptive MR-guided radiotherapy and delivered to a patient with prostate cancer
The process of radiotherapy (RT) treatment planning from simulation using computed tomography (CT) and/or magnetic resonance imaging (MRI) to the application of the first treatment fraction is currently a multi-step routine process requiring human interactions, which is fragmented and time-consuming and thus plan quality can vary significantly [1]. Recently, the potentials of artificial intelligence (AI) in healthcare to automatize, standardize and speed-up processes has been discussed extensively [2 –6].
Source: Radiotherapy and Oncology - Category: Radiology Authors: Luise A. K ünzel, Marcel Nachbar, Markus Hagmüller, Cihan Gani, Simon Boeke, Daniel Zips, Daniela Thorwarth Tags: Original Article Source Type: research