{"title":"[Advances in Application of Artificial Intelligence for Breast Cancer Radiotherapy].","authors":"Rongyao Chen, Yuting Liang, Junyue Shi","doi":"10.12455/j.issn.1671-7104.250421","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer is a highly prevalent malignant tumor among women worldwide, posing a serious threat to women's health, and radiotherapy plays a key role in its comprehensive treatment process. With the rapid development of artificial intelligence (AI) technology, its application in the field of breast cancer radiotherapy has been expanding, especially with deep learning as the representative technical means, which has brought new opportunities for enhancing radiotherapy accuracy and optimizing radiotherapy plans. Existing researches demonstrate that AI technology plays a crucial role in medical image processing and automated radiotherapy planning for breast cancer radiotherapy. By systematically reviewing relevant research findings and practical advancements while identifying key technical challenges, this paper will provide effective support for the deep integration and development of AI and breast cancer radiotherapy.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":"50 1","pages":"7-14"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.250421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Breast cancer is a highly prevalent malignant tumor among women worldwide, posing a serious threat to women's health, and radiotherapy plays a key role in its comprehensive treatment process. With the rapid development of artificial intelligence (AI) technology, its application in the field of breast cancer radiotherapy has been expanding, especially with deep learning as the representative technical means, which has brought new opportunities for enhancing radiotherapy accuracy and optimizing radiotherapy plans. Existing researches demonstrate that AI technology plays a crucial role in medical image processing and automated radiotherapy planning for breast cancer radiotherapy. By systematically reviewing relevant research findings and practical advancements while identifying key technical challenges, this paper will provide effective support for the deep integration and development of AI and breast cancer radiotherapy.
期刊介绍:
Chinese Journal of Medical Instrumentation mainly reports on the development, progress, research and development, production, clinical application, management, and maintenance of medical devices and biomedical engineering. Its aim is to promote the exchange of information on medical devices and biomedical engineering in China and turn the journal into a high-quality academic journal that leads academic directions and advocates academic debates.