• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

患者对深度学习辅助糖尿病视网膜病变筛查活动中人工智能的看法：真实世界评估。

Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.

机构信息

Federal University of São Paulo, São Paulo, Brazil.

Universidade Regional de Blumenau, Blumenau, Brazil.

出版信息

J Diabetes Sci Technol. 2024 May;18(3):750-751. doi: 10.1177/19322968241234378. Epub 2024 Feb 25.

DOI:10.1177/19322968241234378
PMID:38404014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11089872/
Abstract

During an artificial intelligence (AI)-assisted diabetic retinopathy screening event, we performed a survey on patients´ perceptions on AI. Respondents were individuals with diabetes, mostly followed in primary healthcare with a low education level. While 49.6% of participants said they knew what AI was, only 14% reported good or expert knowledge of AI. The vast majority reported positive feelings towards AI in healthcare. We highlight the importance of understanding patients´ views regarding AI in health in a real-life situation and emphasize the importance of digital education.

摘要

在一次人工智能（AI）辅助的糖尿病视网膜病变筛查活动中，我们对患者对 AI 的认知进行了调查。受访者为糖尿病患者，主要在初级保健中就诊，受教育程度较低。虽然 49.6%的参与者表示他们知道 AI 是什么，但只有 14%的人表示对 AI 有良好或专家级的了解。绝大多数人对 AI 在医疗保健中的应用持积极态度。我们强调了在现实生活中了解患者对 AI 在健康方面的看法的重要性，并强调了数字教育的重要性。

相似文献

1
Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.患者对深度学习辅助糖尿病视网膜病变筛查活动中人工智能的看法：真实世界评估。
J Diabetes Sci Technol. 2024 May;18(3):750-751. doi: 10.1177/19322968241234378. Epub 2024 Feb 25.
2
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.人工智能利用深度学习在非洲筛查可转诊和威胁视力的糖尿病视网膜病变：一项临床验证研究。
Lancet Digit Health. 2019 May;1(1):e35-e44. doi: 10.1016/S2589-7500(19)30004-4. Epub 2019 May 2.
3
Comparison of 21 artificial intelligence algorithms in automated diabetic retinopathy screening using handheld fundus camera.比较使用手持眼底相机的 21 种人工智能算法在自动化糖尿病性视网膜病变筛查中的应用。
Ann Med. 2024 Dec;56(1):2352018. doi: 10.1080/07853890.2024.2352018. Epub 2024 May 13.
4
Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia.澳大利亚内分泌科和原住民医疗保健环境中基于真实世界人工智能的糖尿病视网膜病变机会性筛查。
Sci Rep. 2021 Aug 4;11(1):15808. doi: 10.1038/s41598-021-94178-5.
5
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.对一种人工智能驱动的算法进行前瞻性评估，该算法用于对 30000 名患者进行自动糖尿病视网膜病变筛查。
Br J Ophthalmol. 2021 May;105(5):723-728. doi: 10.1136/bjophthalmol-2020-316594. Epub 2020 Jun 30.
6
Diabetic retinopathy screening through artificial intelligence algorithms: A systematic review.基于人工智能算法的糖尿病视网膜病变筛查：系统综述。
Surv Ophthalmol. 2024 Sep-Oct;69(5):707-721. doi: 10.1016/j.survophthal.2024.05.008. Epub 2024 Jun 15.
7
Implementation of A New, Mobile Diabetic Retinopathy Screening Model Incorporating Artificial Intelligence in Remote Western Australia.在西澳大利亚偏远地区实施一种结合人工智能的新型移动糖尿病视网膜病变筛查模式。
Aust J Rural Health. 2025 Apr;33(2):e70031. doi: 10.1111/ajr.70031.
8
Patients Perceptions of Artificial Intelligence in Diabetic Eye Screening.患者对糖尿病眼病筛查人工智能的看法。
Asia Pac J Ophthalmol (Phila). 2022 May 1;11(3):287-293. doi: 10.1097/APO.0000000000000525.
9
What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting.糖尿病患者和国民保健署工作人员对人工智能辅助糖尿病眼病筛查的潜在实施有何看法和顾虑？在二级保健筛查环境中使用的调查工具的开发和验证。
BMJ Open. 2023 Nov 15;13(11):e075558. doi: 10.1136/bmjopen-2023-075558.
10
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.人工智能在糖尿病视网膜病变筛查中的应用：真实世界中的新兴应用。
Curr Diab Rep. 2019 Jul 31;19(9):72. doi: 10.1007/s11892-019-1189-3.

引用本文的文献

1
Awareness, Knowledge, Attitudes, and Practices Regarding Diabetic Retinopathy Among Residents of Jazan City, Saudi Arabia.沙特阿拉伯吉赞市居民对糖尿病视网膜病变的认知、知识、态度及行为
Cureus. 2024 Oct 10;16(10):e71219. doi: 10.7759/cureus.71219. eCollection 2024 Oct.

本文引用的文献

1
Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence.用于糖尿病视网膜病变筛查的单张视网膜图像：一款嵌入人工智能的手持设备的性能
Int J Retina Vitreous. 2023 Jul 10;9(1):41. doi: 10.1186/s40942-023-00477-6.
2
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.美国公众对医疗保健领域人工智能认知的调查：系统综述。
J Med Internet Res. 2023 Apr 4;25:e40337. doi: 10.2196/40337.
3
Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients.患者对医疗保健中人工智能的态度和认知：一项横断面调查
Digit Health. 2022 Aug 8;8:20552076221116772. doi: 10.1177/20552076221116772. eCollection 2022 Jan-Dec.
4
Patients Perceptions of Artificial Intelligence in Diabetic Eye Screening.患者对糖尿病眼病筛查人工智能的看法。
Asia Pac J Ophthalmol (Phila). 2022 May 1;11(3):287-293. doi: 10.1097/APO.0000000000000525.
5
Perspectives of Patients About Artificial Intelligence in Health Care.患者对医疗保健中人工智能的看法。
JAMA Netw Open. 2022 May 2;5(5):e2210309. doi: 10.1001/jamanetworkopen.2022.10309.