Better off alone? Artificial intelligence can demonstrate superior performance without clinician input

IF 1.8 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Joshua Kovoor, Daksh Tyagi, Ashley Hopkins, James Gorcilov, Brandon Stretton, Aashray Gupta, Stephen Bacchi
{"title":"Better off alone? Artificial intelligence can demonstrate superior performance without clinician input","authors":"Joshua Kovoor,&nbsp;Daksh Tyagi,&nbsp;Ashley Hopkins,&nbsp;James Gorcilov,&nbsp;Brandon Stretton,&nbsp;Aashray Gupta,&nbsp;Stephen Bacchi","doi":"10.1111/imj.70007","DOIUrl":null,"url":null,"abstract":"<p>Recent studies challenge the assumption that human–artificial intelligence (AI) collaboration is universally optimal, highlighting tasks where AI alone outperforms combined efforts. This viewpoint discusses the reasons behind these findings, explores influences on synergy and emphasises the importance of identifying when clinicians add net benefit to AI performance. Maximising patient outcomes may require accepting AI autonomy in certain scenarios within healthcare practice.</p>","PeriodicalId":13625,"journal":{"name":"Internal Medicine Journal","volume":"55 3","pages":"533-536"},"PeriodicalIF":1.8000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internal Medicine Journal","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/imj.70007","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Recent studies challenge the assumption that human–artificial intelligence (AI) collaboration is universally optimal, highlighting tasks where AI alone outperforms combined efforts. This viewpoint discusses the reasons behind these findings, explores influences on synergy and emphasises the importance of identifying when clinicians add net benefit to AI performance. Maximising patient outcomes may require accepting AI autonomy in certain scenarios within healthcare practice.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Internal Medicine Journal
Internal Medicine Journal 医学-医学:内科
CiteScore
3.50
自引率
4.80%
发文量
600
审稿时长
3-6 weeks
期刊介绍: The Internal Medicine Journal is the official journal of the Adult Medicine Division of The Royal Australasian College of Physicians (RACP). Its purpose is to publish high-quality internationally competitive peer-reviewed original medical research, both laboratory and clinical, relating to the study and research of human disease. Papers will be considered from all areas of medical practice and science. The Journal also has a major role in continuing medical education and publishes review articles relevant to physician education.
×
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