A Review of Artificial Intelligence Application for Radiotherapy

被引:0
|
作者
Shan, Guoping [1 ,2 ]
Yu, Shunfei [3 ]
Lai, Zhongjun [3 ]
Xuan, Zhiqiang [3 ]
Zhang, Jie [2 ]
Wang, Binbing [2 ]
Ge, Yun [1 ]
机构
[1] Nanjing Univ, Sch Elect Sci & Engn, 163 Xianlin Rd, Nanjing 210023, Peoples R China
[2] Zhejiang Canc Hosp, 1 Banshan East Rd, Hangzhou 310022, Peoples R China
[3] Zhejiang Prov Ctr Dis Control & Prevent, 3399 Binsheng Rd, Hangzhou 310051, Peoples R China
来源
DOSE-RESPONSE | 2024年 / 22卷 / 02期
关键词
artificial intelligence; radiotherapy; auto-segmentation; automated treatment planning; quality assurance; DOSE PREDICTION; DATA FUSION; RISK; SEGMENTATION; CHALLENGES; NETWORKS; ORGANS; ATLAS;
D O I
10.1177/15593258241263687
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background and PurposeArtificial intelligence (AI) is a technique which tries to think like humans and mimic human behaviors. It has been considered as an alternative in a lot of human-dependent steps in radiotherapy (RT), since the human participation is a principal uncertainty source in RT. The aim of this work is to provide a systematic summary of the current literature on AI application for RT, and to clarify its role for RT practice in terms of clinical views.Materials and MethodsA systematic literature search of PubMed and Google Scholar was performed to identify original articles involving the AI applications in RT from the inception to 2022. Studies were included if they reported original data and explored the clinical applications of AI in RT.ResultsThe selected studies were categorized into three aspects of RT: organ and lesion segmentation, treatment planning and quality assurance. For each aspect, this review discussed how these AI tools could be involved in the RT protocol.ConclusionsOur study revealed that AI was a potential alternative for the human-dependent steps in the complex process of RT.
引用
下载
收藏
页数:10
相关论文
共 50 条
  • [31] Application of artificial intelligence and machine learning for BIM: review
    Bassir D.
    Lodge H.
    Chang H.
    Majak J.
    Chen G.
    International Journal for Simulation and Multidisciplinary Design Optimization, 2023, 14
  • [32] Application of artificial intelligence in gastrointestinal disease: a narrative review
    Zhou, Jun
    Hu, Na
    Huang, Zhi-Yin
    Song, Bin
    Wu, Chun-Cheng
    Zeng, Fan-Xin
    Wu, Min
    ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (14)
  • [33] The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review
    Xiao, Guangnian
    Yang, Daoqi
    Xu, Lang
    Li, Jinpei
    Jiang, Ziran
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (04)
  • [34] Application of artificial intelligence in physical education: a systematic review
    Zhou, Tong
    Wu, Xingliang
    Wang, Yudong
    Wang, Yilei
    Zhang, Shunan
    EDUCATION AND INFORMATION TECHNOLOGIES, 2024, 29 (07) : 8203 - 8220
  • [35] The application of artificial intelligence in health financing: a scoping review
    Ramezani, Maryam
    Takian, Amirhossein
    Bakhtiari, Ahad
    Rabiee, Hamid R.
    Fazaeli, Ali Akbar
    Sazgarnejad, Saharnaz
    COST EFFECTIVENESS AND RESOURCE ALLOCATION, 2023, 21 (01)
  • [36] An overview of the application of artificial intelligence in psychotherapy: A systematic review
    Tahan, Mohammad
    Saleem, Tamkeen
    NEUROPSYCHIATRIA I NEUROPSYCHOLOGIA, 2024, 19 (1-2): : 28 - 39
  • [37] Review of application of artificial intelligence techniques in petroleum operations
    Saeed Bahaloo
    Masoud Mehrizadeh
    Adel NajafiMarghmaleki
    Petroleum Research, 2023, 8 (02) : 167 - 182
  • [38] The application of artificial intelligence in health policy: a scoping review
    Ramezani, Maryam
    Takian, Amirhossein
    Bakhtiari, Ahad
    Rabiee, Hamid R.
    Ghazanfari, Sadegh
    Mostafavi, Hakimeh
    BMC HEALTH SERVICES RESEARCH, 2023, 23 (01)
  • [39] Artificial Intelligence in Buildings: A Review of the Application of Fuzzy Logic
    Kolokotsa, D.
    ADVANCES IN BUILDING ENERGY RESEARCH, 2007, 1 (01) : 29 - 54
  • [40] APPLICATION OF ARTIFICIAL INTELLIGENCE FOR IRRIGATION MANAGEMENT: A SYSTEMATIC REVIEW
    Alvim, Silvio J. T.
    Guimaraes, Claudinei M.
    de Sousa, Elias F.
    Garcia, Ricardo F.
    Marciano, Claudio R.
    ENGENHARIA AGRICOLA, 2022, 42