Artificial Intelligence Publication Trends in Reproductive Cancers - Who is being Left Behind?

Chan Joshua E, Liao Cheng-I, Man Amandeep, Kapp Daniel S, Mysona David Pierce
{"title":"Artificial Intelligence Publication Trends in Reproductive Cancers - Who is being Left Behind?","authors":"Chan Joshua E, Liao Cheng-I, Man Amandeep, Kapp Daniel S, Mysona David Pierce","doi":"10.36959/468/478","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) algorithms have been developed to make real-time analyses and decisions that simulate hu man thinking, with tremendous applications in healthcare. By uniting patient data and medical knowledge, AI can predict for and identify malignancies more accurately and efficiently than a human can [1] . Given the increasing utility of artifi cial intelligence (AI) in health care, we proposed to study AI research publications in gynecologic oncology. Trends and disparities","PeriodicalId":206072,"journal":{"name":"Annals of Gynecology and Obstetrics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Gynecology and Obstetrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36959/468/478","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

Artificial intelligence (AI) algorithms have been developed to make real-time analyses and decisions that simulate hu man thinking, with tremendous applications in healthcare. By uniting patient data and medical knowledge, AI can predict for and identify malignancies more accurately and efficiently than a human can [1] . Given the increasing utility of artifi cial intelligence (AI) in health care, we proposed to study AI research publications in gynecologic oncology. Trends and disparities
生殖癌症领域的人工智能出版物趋势——谁落后了?
人工智能(AI)算法已经被开发出来,可以模拟人类的思维进行实时分析和决策,在医疗保健领域有着广泛的应用。通过结合患者数据和医学知识,人工智能可以比人类更准确、更有效地预测和识别恶性肿瘤。鉴于人工智能(AI)在医疗保健领域的应用越来越广泛,我们建议研究人工智能在妇科肿瘤学方面的研究出版物。趋势和差异
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:604180095
Book学术官方微信
小红书