{"title":"Application of AI in Radiotherapy","authors":"Prof Q. Jackie Wu","doi":"10.1016/j.jmir.2024.101466","DOIUrl":null,"url":null,"abstract":"<div><div>The deployment of artificial intelligence (AI) technologies will have a great impact for the radiation therapy field. At the frontline of patient care, therapists will have a significant role in assuring safe and effective clinical implementation of AI-based tools. A major part of clinical AI applications will focus on facilitating and enhancing healthcare practice, via automation. This may raise concerns on responsibility and decision boundaries of patient care. Another challenge related to the AI application in clinic is the “black boxes” perception. It may be difficult to understand why or how the algorithm performs, due to the complexity of these AI algorithms. This talk will provide an overall review of major areas that AI technologies are being launched in clinics, including segmentation, treatment planning, treatment decision support, and treatment plan QA etc. Additionally, this talk will also address some relevant topics such as ethics in developing and deploying AI tools in clinic, etc.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging and Radiation Sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1939865424001978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
The deployment of artificial intelligence (AI) technologies will have a great impact for the radiation therapy field. At the frontline of patient care, therapists will have a significant role in assuring safe and effective clinical implementation of AI-based tools. A major part of clinical AI applications will focus on facilitating and enhancing healthcare practice, via automation. This may raise concerns on responsibility and decision boundaries of patient care. Another challenge related to the AI application in clinic is the “black boxes” perception. It may be difficult to understand why or how the algorithm performs, due to the complexity of these AI algorithms. This talk will provide an overall review of major areas that AI technologies are being launched in clinics, including segmentation, treatment planning, treatment decision support, and treatment plan QA etc. Additionally, this talk will also address some relevant topics such as ethics in developing and deploying AI tools in clinic, etc.
期刊介绍:
Journal of Medical Imaging and Radiation Sciences is the official peer-reviewed journal of the Canadian Association of Medical Radiation Technologists. This journal is published four times a year and is circulated to approximately 11,000 medical radiation technologists, libraries and radiology departments throughout Canada, the United States and overseas. The Journal publishes articles on recent research, new technology and techniques, professional practices, technologists viewpoints as well as relevant book reviews.