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Addressing the Overlooked: Limitations of AI in diabetic retinopathy screening and the need for preventative education in urban populations.

作者信息

Sincari Andra, Yogesan Saieesha, Perera Chandrashan, Hiew Jonathan, Hamilton Emma, Fegan Gerry, Wood Fiona, Kanagasingam Yogesan

机构信息

Sir Charles Gairdner Hospital, North Metro Health Services, Nedlands, WA, Australia.

School of Medicine, Curtin University, Bentley, WA, Australia.

出版信息

Eye (Lond). 2025 Feb;39(3):400-401. doi: 10.1038/s41433-024-03538-8. Epub 2024 Dec 9.

DOI:10.1038/s41433-024-03538-8
PMID:39653764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11794744/
Abstract
摘要

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本文引用的文献

1
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.在基层医疗诊所中用于检测糖尿病视网膜病变的基于人工智能的自主诊断系统的关键试验。
NPJ Digit Med. 2018 Aug 28;1:39. doi: 10.1038/s41746-018-0040-6. eCollection 2018.
2
Artificial intelligence and deep learning in ophthalmology.人工智能和深度学习在眼科学中的应用。
Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25.
3
The Prevalence of Diabetic Retinopathy in Australian Adults with Self-Reported Diabetes: The National Eye Health Survey.澳大利亚自我报告糖尿病成年人中糖尿病视网膜病变的患病率：国家眼部健康调查。
Ophthalmology. 2017 Jul;124(7):977-984. doi: 10.1016/j.ophtha.2017.02.004. Epub 2017 Mar 15.