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
  • [21] The application of artificial intelligence in health financing: a scoping review
    Maryam Ramezani
    Amirhossein Takian
    Ahad Bakhtiari
    Hamid R. Rabiee
    Ali Akbar Fazaeli
    Saharnaz Sazgarnejad
    Cost Effectiveness and Resource Allocation, 21
  • [22] Application of Artificial Intelligence in Oncology Nursing A Scoping Review
    Zhou, Tianji
    Luo, Yuanhui
    Li, Juan
    Zhang, Hanyi
    Meng, Zhenyu
    Xiong, Wenjin
    Zhang, Jingping
    CANCER NURSING, 2023,
  • [23] Review on the application of Artificial Intelligence in Antivirus Detection System
    Wang, Xiao-bin
    Yang, Guang-yuan
    Li, Yi-chao
    Liu, Dan
    2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 9 - 12
  • [24] The Application of Artificial Intelligence in Project Management Research: A Review
    Gil Ruiz, Jesus
    Martinez Torres, Javier
    Gonzalez Crespo, Ruben
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2021, 6 (06): : 54 - 66
  • [25] The application of artificial intelligence in lung cancer: a narrative review
    Zhang, Huixian
    Meng, Die
    Cai, Siqi
    Guo, Haoyue
    Chen, Peixin
    Zheng, Zixuan
    Zhu, Jun
    Zhao, Wencheng
    Wang, Hao
    Zhao, Sha
    Yu, Jia
    He, Yayi
    TRANSLATIONAL CANCER RESEARCH, 2021, 10 (05) : 2478 - 2487
  • [26] Application of artificial intelligence techniques in meat processing: A review
    Wang, Mingyu
    Li, Xinxing
    JOURNAL OF FOOD PROCESS ENGINEERING, 2024, 47 (03)
  • [27] Application of artificial intelligence techniques in the petroleum industry: a review
    Rahmanifard, Hamid
    Plaksina, Tatyana
    ARTIFICIAL INTELLIGENCE REVIEW, 2019, 52 (04) : 2295 - 2318
  • [28] Application of artificial intelligence in mine ventilation: a brief review
    Semin, Mikhail
    Kormshchikov, Denis
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
  • [29] Application of artificial intelligence in the dental field: A literature review
    Kishimoto, Takahiro
    Goto, Takaharu
    Matsuda, Takashi
    Iwawaki, Yuki
    Ichikawa, Tetsuo
    JOURNAL OF PROSTHODONTIC RESEARCH, 2022, 66 (01) : 19 - 28
  • [30] Application of artificial intelligence techniques in the petroleum industry: a review
    Hamid Rahmanifard
    Tatyana Plaksina
    Artificial Intelligence Review, 2019, 52 : 2295 - 2318