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人工智能用于妇科恶性肿瘤放疗的研究进展北大核心CSCD
引用本文:杜铭,刘晓霞,徐丛剑,张晓燕.人工智能用于妇科恶性肿瘤放疗的研究进展北大核心CSCD[J].中华放射肿瘤学杂志,2022,31(7):671-674.
作者姓名:杜铭  刘晓霞  徐丛剑  张晓燕
作者单位:复旦大学附属妇产科医院妇科,上海 200011
摘    要:妇科恶性肿瘤发病率和死亡率较高,仍需寻找有效的治疗手段以提高患者生存获益。人工智能(AI)旨在通过机器模拟人脑的思考方式,对原始问题进行智能化处理。其在恶性肿瘤的诊疗领域表现出巨大的发展潜力,在妇科恶性肿瘤领域也有所进展。本文概述了AI在妇科恶性肿瘤诊疗领域的应用,并着重介绍AI在妇科恶性肿瘤放疗领域的研究进展;主要聚焦于放疗中自动勾画、剂量预测、放射不良反应及疗效预测等关键环节,探讨了目前AI在妇科恶性肿瘤放疗研究中的优势与不足。

关 键 词:人工智能  妇科肿瘤/放射疗法  研究进展
收稿时间:2021-05-18

Research progress on application of artificial intelligence in radiotherapy for gynecological malignancy
Du Ming,Liu Xiaoxia,Xu Congjian,Zhang Xiaoyan.Research progress on application of artificial intelligence in radiotherapy for gynecological malignancy[J].Chinese Journal of Radiation Oncology,2022,31(7):671-674.
Authors:Du Ming  Liu Xiaoxia  Xu Congjian  Zhang Xiaoyan
Institution:Gynecology Department, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China
Abstract:The gynecological malignancy has a high incidence and mortality. More efficient treatment methods still need to be explored to improve the survival benefits. Artificial intelligence (AI) aims to intelligently process the original problems by simulating the thinking way of human brain. It has obtained significant progress in gynecological malignancy, with great potential in the field of cancer diagnosis and treatment. This paper reviews the application of AI in the diagnosis and treatment of gynecological malignancy, and mainly introduces the research progress on AI in the radiotherapy. This paper mainly focuses on the key issues such as automatic delineation, dose prediction, radiotoxicity prediction and efficacy prediction, and discusses the current benefits and limitations of AI in radiotherapy of gynecological malignancy.
Keywords:Artificial intelligence  Gynecologic neoplasms/radiotherapy  Research progress  
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