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本文引用的文献

1
Artificial intelligence in glaucoma.人工智能在青光眼领域的应用。
Curr Opin Ophthalmol. 2019 Mar;30(2):97-103. doi: 10.1097/ICU.0000000000000552.
2
A deep learning model for the detection of both advanced and early glaucoma using fundus photography.利用眼底照相术检测晚期和早期青光眼的深度学习模型。
PLoS One. 2018 Nov 27;13(11):e0207982. doi: 10.1371/journal.pone.0207982. eCollection 2018.
3
Current state and future prospects of artificial intelligence in ophthalmology: a review.人工智能在眼科学中的现状与展望:综述
Clin Exp Ophthalmol. 2019 Jan;47(1):128-139. doi: 10.1111/ceo.13381. Epub 2018 Sep 30.
4
Clinically applicable deep learning for diagnosis and referral in retinal disease.临床适用的深度学习在视网膜疾病的诊断和转诊中的应用。
Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13.
5
Artificial intelligence in retina.视网膜中的人工智能。
Prog Retin Eye Res. 2018 Nov;67:1-29. doi: 10.1016/j.preteyeres.2018.07.004. Epub 2018 Aug 1.
6
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.基于深度学习的 OCT 中黄斑区液全自动化检测和定量分析
Ophthalmology. 2018 Apr;125(4):549-558. doi: 10.1016/j.ophtha.2017.10.031. Epub 2017 Dec 8.
7
Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.使用机器学习方法预测新生血管性年龄相关性黄斑变性的抗VEGF治疗需求
Invest Ophthalmol Vis Sci. 2017 Jun 1;58(7):3240-3248. doi: 10.1167/iovs.16-21053.
8
Development of machine learning models for diagnosis of glaucoma.用于青光眼诊断的机器学习模型的开发。
PLoS One. 2017 May 23;12(5):e0177726. doi: 10.1371/journal.pone.0177726. eCollection 2017.
9
Validation of an Objective Keratoconus Detection System Implemented in a Scheimpflug Tomographer and Comparison With Other Methods.在Scheimpflug断层扫描仪中实现的圆锥角膜客观检测系统的验证及与其他方法的比较。
Cornea. 2017 Jun;36(6):689-695. doi: 10.1097/ICO.0000000000001194.
10
Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network.基于卷积神经网络深度特征的小儿白内障裂隙灯图像定位与诊断框架
PLoS One. 2017 Mar 17;12(3):e0168606. doi: 10.1371/journal.pone.0168606. eCollection 2017.

Understanding the advent of artificial intelligence in ophthalmology.

作者信息

Ahuja Abhimanyu S, Halperin Lawrence S

机构信息

Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.

Retina Group of Florida and Affiliate Clinical Professor of Surgery, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.

出版信息

J Curr Ophthalmol. 2019 May 28;31(2):115-117. doi: 10.1016/j.joco.2019.05.001. eCollection 2019 Jun.

DOI:10.1016/j.joco.2019.05.001
PMID:31317087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6611924/
Abstract
摘要