The role of artificial intelligence in the differential thyroid nodules ultrasound diagnostics

A. Trukhin, S. M. Zakharova, M. Y. Dunaev, M. P. Isaeva, A. Garmash, E. Troshina
{"title":"The role of artificial intelligence in the differential thyroid nodules ultrasound diagnostics","authors":"A. Trukhin, S. M. Zakharova, M. Y. Dunaev, M. P. Isaeva, A. Garmash, E. Troshina","doi":"10.14341/ket12730","DOIUrl":null,"url":null,"abstract":"Advances in the development and improvement of medical technologies and methods of processing medical images make it possible to highlight clinically significant characteristics that were not previously available to classical methods of medical imaging. Ultrasound diagnostics of thyroid gland nodules has a huge potential medical images processing. The article presents an overview of the existing ultrasound classification systems for thyroid nodules malignancy and the prospects for the development of intellectual tools TIRADS (Thyroid Imaging Reporting and Data System) classification system.","PeriodicalId":10284,"journal":{"name":"Clinical and experimental thyroidology","volume":"94 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and experimental thyroidology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14341/ket12730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Advances in the development and improvement of medical technologies and methods of processing medical images make it possible to highlight clinically significant characteristics that were not previously available to classical methods of medical imaging. Ultrasound diagnostics of thyroid gland nodules has a huge potential medical images processing. The article presents an overview of the existing ultrasound classification systems for thyroid nodules malignancy and the prospects for the development of intellectual tools TIRADS (Thyroid Imaging Reporting and Data System) classification system.
人工智能在甲状腺结节鉴别超声诊断中的作用
医学技术的发展和改进以及处理医学图像的方法的进步,使得突出以前经典医学成像方法无法获得的临床重要特征成为可能。超声诊断甲状腺结节具有巨大的医学图像处理潜力。本文综述了现有甲状腺结节恶性肿瘤超声分类系统,并对智能工具甲状腺影像报告与数据系统(TIRADS)分类系统的发展前景进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信