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Consensus on taxonomy of planning automation for radiotherapy
Men Kuo1, Hu Weigang2, Zhang Yibao3, Wang Pei4, Yin Yong5, Dai Jianrong1
1Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; 2Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University;Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China; 3Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology,Peking University Cancer Hospital&Institute,Beijing 100142, China; 4The Affiliated Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Chengdu 610041, China; 5Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan 250117, China
Abstract Powered by big data and artificial intelligence, the research and clinical application of treatment planning automation for radiation therapy are rapidly growing. The application and supervision of planning automation systems necessitate careful consideration of different levels of automation, as well as the context for use. For autonomous vehicles, the levels of automation have been defined at home and abroad. Nevertheless, no such definitions exist for radiotherapy planning automation. To promote and standardize the development of radiotherapy planning automation and initiate discussion within the community, we developed this recommendation with reference to the taxonomy of driving automation for vehicles and divided the radiotherapy planning automation into six levels (level 1 to 6).
Corresponding Authors:
Dai Jianrong,Email:dai_jianrong@163.com
Cite this article:
Men Kuo,Hu Weigang,Zhang Yibao et al. Consensus on taxonomy of planning automation for radiotherapy[J]. Chinese Journal of Radiation Oncology, 2022, 31(5): 421-424.
Men Kuo,Hu Weigang,Zhang Yibao et al. Consensus on taxonomy of planning automation for radiotherapy[J]. Chinese Journal of Radiation Oncology, 2022, 31(5): 421-424.