Automation and artificial intelligence in radiation therapy treatment planning

Jones, S; Thompson, K; Porter, B; Shepherd, M; Sapkaroski, D; Grimshaw, A; Hargrave, C

Author(s): Jones, S; Thompson, K; Porter, B; Shepherd, M; Sapkaroski, D; Grimshaw, A; Hargrave, C;
Details: Publication Year 2024,Volume 71,Issue #2,Page 290-298
Journal Title: Journal of Medical Radiation Sciences
Publication Type: Commentary
Abstract: Automation and artificial intelligence (AI) is already possible for many radiation therapy planning and treatment processes with the aim of improving workflows and increasing efficiency in radiation oncology departments. Currently, AI technology is advancing at an exponential rate, as are its applications in radiation oncology. This commentary highlights the way AI has begun to impact radiation therapy treatment planning and looks ahead to potential future developments in this space. Historically, radiation therapist's (RT's) role has evolved alongside the adoption of new technology. In Australia, RTs have key clinical roles in both planning and treatment delivery and have been integral in the implementation of automated solutions for both areas. They will need to continue to be informed, to adapt and to transform with AI technologies implemented into clinical practice in radiation oncology departments. RTs will play an important role in how AI-based automation is implemented into practice in Australia, ensuring its application can truly enable personalised and higher-quality treatment for patients. To inform and optimise utilisation of AI, research should not only focus on clinical outcomes but also AI's impact on professional roles, responsibilities and service delivery. Increased efficiencies in the radiation therapy workflow and workforce need to maintain safe improvements in practice and should not come at the cost of creativity, innovation, oversight and safety.
Keywords: *Artificial Intelligence; *Radiotherapy Planning, Computer-Assisted/methods; Humans; *Automation; Radiation Oncology; Australia
Department(s): Radiation Therapy
PubMed ID: 37794690
Publisher's Version: https://doi.org/10.1002/jmrs.729
Open Access at Publisher's Site: https://doi.org/10.1002/jmrs.729
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2024-08-20 06:08:26

Last Modified: 2024-08-20 06:56:56