Machine learning-based radiotherapy time prediction and treatment scheduling management.
Journal:
Journal of applied clinical medical physics
Published Date:
Aug 17, 2023
Abstract
PURPOSE: The utility efficiency of medical devices is important, especially for countries such as China, which have a large population and shortage of medical care resources. Radiotherapy devices are among the most valuable and specialized equipment categories and carry enormous treatment loads. In this study, a novel method is proposed to improve the efficiency of a radiotherapy device (linac). Although scheduling management with accurate prediction of the entire treatment time included in each appointment, arrange a reasonable time duration for appointments and save time between patient shifts effectively. Tasks belonging to the treatment and non-treatment groups can be assigned more flexibly based on the availability of time.