Rapid Progress in Intelligent Radiotherapy and Future Implementation

Autor: Guangpeng, Chen, Jianxiong, Cui, Jindong, Qian, Jianbo, Zhu, Lirong, Zhao, Bangyu, Luo, Tianxiang, Cui, Liangzhi, Zhong, Fan, Yang, Guangrong, Yang, Xianlan, Zhao, Yibing, Zhou, Mingying, Geng, Jianguo, Sun
Rok vydání: 2022
Předmět:
Zdroj: Cancer Investigation. 40:425-436
ISSN: 1532-4192
0735-7907
Popis: 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.
Databáze: OpenAIRE
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