Rapid Progress in Intelligent Radiotherapy and Future Implementation.

Journal: Cancer investigation
Published Date: Apr 3, 2022

Abstract

Radiotherapy is one of the major approaches to cancer treatment. Artificial intelligence in radiotherapy (shortly, Intelligent radiotherapy) mainly involves big data, deep learning, extended reality, digital twin, radiomics, Internet plus and Internet of Things (IoT), which establish an automatic and intelligent network platform consisting of radiotherapy preparation, target volume delineation, treatment planning, radiation delivery, quality assurance (QA) and quality control (QC), prognosis judgment and post-treatment follow-up. Intelligent radiotherapy is an interdisciplinary frontier discipline in infancy. The review aims to summary the important implements of intelligent radiotherapy in various areas and put forward the future of unmanned radiotherapy center.

Authors

  • Guangpeng Chen
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Jianxiong Cui
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Jindong Qian
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Jianbo Zhu
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Lirong Zhao
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Bangyu Luo
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Tianxiang Cui
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Liangzhi Zhong
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
  • Guangrong Yang
    Department of Oncology, The People's Hospital of Qijiang District, Chongqing, P.R. China.
  • Xianlan Zhao
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Yibing Zhou
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.
  • Mingying Geng
    Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, P.R. China.
  • Jianguo Sun
    Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China.

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