Jiali Liu , Haonan Xiao , Jiawei Fan , Weigang Hu , Yong Yang , Peng Dong , Lei Xing , Jing Cai
{"title":"An overview of artificial intelligence in medical physics and radiation oncology","authors":"Jiali Liu , Haonan Xiao , Jiawei Fan , Weigang Hu , Yong Yang , Peng Dong , Lei Xing , Jing Cai","doi":"10.1016/j.jncc.2023.08.002","DOIUrl":null,"url":null,"abstract":"<div><p>Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine, especially radiotherapy. This paper provides a brief overview of AI applications in radiotherapy, and highlights the research directions of AI that can potentially make significant impacts and relevant ongoing research works in these directions. Challenging issues related to the clinical applications of AI, such as robustness and interpretability of AI models, are also discussed. The future research directions of AI in the field of medical physics and radiotherapy are highlighted.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"3 3","pages":"Pages 211-221"},"PeriodicalIF":7.6000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Cancer Center","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667005423000479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine, especially radiotherapy. This paper provides a brief overview of AI applications in radiotherapy, and highlights the research directions of AI that can potentially make significant impacts and relevant ongoing research works in these directions. Challenging issues related to the clinical applications of AI, such as robustness and interpretability of AI models, are also discussed. The future research directions of AI in the field of medical physics and radiotherapy are highlighted.