[Artificial intelligence in medicine-Opportunities and risks from an ethical perspective].

Saskia Metan, Florian Bruns
{"title":"[Artificial intelligence in medicine-Opportunities and risks from an ethical perspective].","authors":"Saskia Metan, Florian Bruns","doi":"10.1007/s00347-025-02224-8","DOIUrl":null,"url":null,"abstract":"<p><p>Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial use of artificial intelligence (AI). The analysis of images and data by trained algorithms has the potential to facilitate making the diagnosis and patient care and not just in ophthalmology. If AI brings about advances in clinical practice that benefit patients, this is ethically to be welcomed; however, respect for the self-determination of patients and data security must be guaranteed. Traceability and explainability of the algorithms would strengthen trust in automated decision-making and enable ultimate medical responsibility. It should be noted that algorithms are only as good and unbiased as the data used to train them. If the use of AI is likely to lead to a loss of skills on the part of doctors (deskilling), this must be counteracted, for example through improved training. Accompanying medical ethics research is necessary to identify those aspects of the use of AI that require regulation. In principle, care must be taken to ensure that AI serves people and adapts to their needs, not the other way round.</p>","PeriodicalId":72808,"journal":{"name":"Die Ophthalmologie","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Die Ophthalmologie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00347-025-02224-8","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

Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial use of artificial intelligence (AI). The analysis of images and data by trained algorithms has the potential to facilitate making the diagnosis and patient care and not just in ophthalmology. If AI brings about advances in clinical practice that benefit patients, this is ethically to be welcomed; however, respect for the self-determination of patients and data security must be guaranteed. Traceability and explainability of the algorithms would strengthen trust in automated decision-making and enable ultimate medical responsibility. It should be noted that algorithms are only as good and unbiased as the data used to train them. If the use of AI is likely to lead to a loss of skills on the part of doctors (deskilling), this must be counteracted, for example through improved training. Accompanying medical ethics research is necessary to identify those aspects of the use of AI that require regulation. In principle, care must be taken to ensure that AI serves people and adapts to their needs, not the other way round.

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