Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective.

IF 3.7 2区 医学 Q1 OPHTHALMOLOGY British Journal of Ophthalmology Pub Date : 2024-09-20 DOI:10.1136/bjo-2024-325167
Yueye Wang, Chi Liu, Keyao Zhou, Tianqing Zhu, Xiaotong Han
{"title":"Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective.","authors":"Yueye Wang, Chi Liu, Keyao Zhou, Tianqing Zhu, Xiaotong Han","doi":"10.1136/bjo-2024-325167","DOIUrl":null,"url":null,"abstract":"<p><p>As the healthcare community increasingly harnesses the power of generative artificial intelligence (AI), critical issues of security, privacy and regulation take centre stage. In this paper, we explore the security and privacy risks of generative AI from model-level and data-level perspectives. Moreover, we elucidate the potential consequences and case studies within the domain of ophthalmology. Model-level risks include knowledge leakage from the model and model safety under AI-specific attacks, while data-level risks involve unauthorised data collection and data accuracy concerns. Within the healthcare context, these risks can bear severe consequences, encompassing potential breaches of sensitive information, violating privacy rights and threats to patient safety. This paper not only highlights these challenges but also elucidates governance-driven solutions that adhere to AI and healthcare regulations. We advocate for preparedness against potential threats, call for transparency enhancements and underscore the necessity of clinical validation before real-world implementation. The objective of security and privacy improvement in generative AI warrants emphasising the role of ophthalmologists and other healthcare providers, and the timely introduction of comprehensive regulations.</p>","PeriodicalId":9313,"journal":{"name":"British Journal of Ophthalmology","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Ophthalmology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bjo-2024-325167","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

As the healthcare community increasingly harnesses the power of generative artificial intelligence (AI), critical issues of security, privacy and regulation take centre stage. In this paper, we explore the security and privacy risks of generative AI from model-level and data-level perspectives. Moreover, we elucidate the potential consequences and case studies within the domain of ophthalmology. Model-level risks include knowledge leakage from the model and model safety under AI-specific attacks, while data-level risks involve unauthorised data collection and data accuracy concerns. Within the healthcare context, these risks can bear severe consequences, encompassing potential breaches of sensitive information, violating privacy rights and threats to patient safety. This paper not only highlights these challenges but also elucidates governance-driven solutions that adhere to AI and healthcare regulations. We advocate for preparedness against potential threats, call for transparency enhancements and underscore the necessity of clinical validation before real-world implementation. The objective of security and privacy improvement in generative AI warrants emphasising the role of ophthalmologists and other healthcare providers, and the timely introduction of comprehensive regulations.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在眼科医疗保健领域实现规范的生成式人工智能:安全与隐私视角。
随着医疗界越来越多地利用生成式人工智能(AI)的威力,安全、隐私和监管等关键问题成为焦点。在本文中,我们从模型层面和数据层面的角度探讨了生成式人工智能的安全和隐私风险。此外,我们还阐明了眼科领域的潜在后果和案例研究。模型层面的风险包括模型知识泄露和人工智能特定攻击下的模型安全性,而数据层面的风险则涉及未经授权的数据收集和数据准确性问题。在医疗保健领域,这些风险可能会带来严重后果,包括可能泄露敏感信息、侵犯隐私权和威胁患者安全。本文不仅强调了这些挑战,还阐明了符合人工智能和医疗保健法规的治理驱动型解决方案。我们主张做好应对潜在威胁的准备,呼吁提高透明度,并强调在实际应用前进行临床验证的必要性。提高生成式人工智能的安全性和隐私性这一目标需要强调眼科医生和其他医疗服务提供者的作用,并及时引入全面的法规。
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 去求助
来源期刊
CiteScore
10.30
自引率
2.40%
发文量
213
审稿时长
3-6 weeks
期刊介绍: The British Journal of Ophthalmology (BJO) is an international peer-reviewed journal for ophthalmologists and visual science specialists. BJO publishes clinical investigations, clinical observations, and clinically relevant laboratory investigations related to ophthalmology. It also provides major reviews and also publishes manuscripts covering regional issues in a global context.
期刊最新文献
Short-term intraocular pressure changes after intravitreal aflibercept 2 mg, aflibercept 8 mg and faricimab: a prospective, comparative study Colour vision deficiency is associated with increased prevalence of amblyopia, strabismus and ametropia: a large population study Nyctohemeral effects of topical beta-adrenoceptor blocking agents measured with an intraocular telemetry sensor Intracellular dark spots are associated with endothelial cell loss after Descemet’s stripping automated endothelial keratoplasty At a glance
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1