Applications of artificial intelligence in radiophysics

被引：5
|
作者：
Li, Cuihua [1 ]
Liu, Hongyan [2 ]
Li, Peilin [3 ]
He, Jia [3 ]
Tian, Xiufang [4 ,6 ]
Gao, Wei [5 ]
机构：
[1] Shandong Univ, Shandong Qianfoshan Hosp, Cheeloo Coll Med, Jinan, Peoples R China
[2] Shandong First Med Univ & Shandong Prov Qianfoshan, Affiliated Hosp 1, Dept Gastroenterol, Jinan, Peoples R China
[3] Shandong First Med Univ & Shandong Prov Qianfoshan, Shandong Coll Elect Technol, Jinan, Peoples R China
[4] Shandong First Med Univ & Shandong Prov Qianfoshan, Affiliated Hosp 1, Shandong Lung Canc Inst, Dept Oncol, Jinan, Peoples R China
[5] Hosp Shandong First Med Univ & Shandong Prov Qianf, Dept Dermatol, Affiliated 1, Jinan, Peoples R China
[6] Shandong Prov Qianfoshan Hosp, Jingshi Rd, Jinan 16766, Shandong, Peoples R China
来源：
JOURNAL OF CANCER RESEARCH AND THERAPEUTICS | 2021年 / 17卷 / 07期
关键词：
Artificial intelligence; radiation therapy planning; radiophysics; radiotherapy; NEURAL-NETWORK; MACHINE; RADIOTHERAPY; SEGMENTATION; PREDICTION; IMAGES; ORGANS; HEAD;
D O I：
10.4103/jcrt.jcrt_1438_21
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Artificial intelligence (AI) is playing an important role in radiation oncology. One of the most important applications is in radiotherapy physics. In this field, it has improved the automation of radiotherapy plan design and quality control (QC), thereby promoting and ensuring individualized precision treatment. This article reviews the applications and research on AI in the physics of radiotherapy and projects the prospects of AI in the following aspects: radiotherapy plan design, radiotherapy quality assurance, and QC, organs at risk contouring, dose prediction, etc.
引用
收藏
页码：1603 / 1607
页数：5
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