Prospective study of artificial intelligence-based decision support to improve head and neck radiotherapy plan quality
Author:
Publisher
Elsevier BV
Subject
Radiology, Nuclear Medicine and imaging,Oncology
Reference17 articles.
1. Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (parsport): a phase 3 multicentre randomised controlled trial;Nutting;Lancet Oncol,2011
2. A comparative study of standard intensity-modulated radiotherapy and rapidarc planning techniques for ipsilateral and bilateral head and neck irradiation;Pursley;Med Dosim,2017
3. A knowledge-based approach to improving and homogenizing intensity modulated radiation therapy planning quality among treatment centers: an example application to prostate cancer planning;Good;Int J Radiat Oncol Biol Phys,2013
4. An overlap-volume-histogram based method for rectal dose prediction and automated treatment planning in the external beam prostate radiotherapy following hydrogel injection;Yang;Med Phys,2013
5. Predicting dose-volume histograms for organs-at-risk in imrt planning;Appenzoller;Med Phys,2012
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An introduction to machine learning and generative artificial intelligence for otolaryngologists—head and neck surgeons: a narrative review;European Archives of Oto-Rhino-Laryngology;2024-02-23
2. Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives;Seminars in Cancer Biology;2023-10
3. Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review;Journal of Personalized Medicine;2023-06-02
4. Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation;Radiography;2023-05
5. Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study;Clinical and Translational Radiation Oncology;2023-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3