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Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis.人工智能在早产儿视网膜病变中的应用：血管严重程度分级量表与国际专家诊断的对照验证。
Ophthalmology. 2022 Jul;129(7):e69-e76. doi: 10.1016/j.ophtha.2022.02.008. Epub 2022 Feb 12.
2
International Classification of Retinopathy of Prematurity, Third Edition.国际早产儿视网膜病变分类，第三版。
Ophthalmology. 2021 Oct;128(10):e51-e68. doi: 10.1016/j.ophtha.2021.05.031. Epub 2021 Jul 8.
3
Aggressive Posterior Retinopathy of Prematurity: Clinical and Quantitative Imaging Features in a Large North American Cohort.早产儿后部急性视网膜病变：一项大型北美队列的临床和定量成像特征。
Ophthalmology. 2020 Aug;127(8):1105-1112. doi: 10.1016/j.ophtha.2020.01.052. Epub 2020 Feb 7.
4
Treatment of non-type 1 retinopathy of prematurity in the Postnatal Growth and Retinopathy of Prematurity (G-ROP) study.在出生后生长与早产儿视网膜病变（G-ROP）研究中治疗非 1 型早产儿视网膜病变。
J AAPOS. 2019 Dec;23(6):332.e1-332.e6. doi: 10.1016/j.jaapos.2019.08.279. Epub 2019 Oct 26.
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Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.使用深度卷积神经网络自动诊断早产儿视网膜病变中的 Plus 病。
JAMA Ophthalmol. 2018 Jul 1;136(7):803-810. doi: 10.1001/jamaophthalmol.2018.1934.
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Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity.眼底镜检查与远程医疗在早产儿视网膜病变检查中的诊断准确性。
JAMA Ophthalmol. 2018 May 1;136(5):498-504. doi: 10.1001/jamaophthalmol.2018.0649.
7
Development and Evaluation of Reference Standards for Image-based Telemedicine Diagnosis and Clinical Research Studies in Ophthalmology.眼科基于图像的远程医疗诊断及临床研究参考标准的制定与评估
AMIA Annu Symp Proc. 2014 Nov 14;2014:1902-10. eCollection 2014.

早产儿视网膜病变治疗相关病变的诊断差异。

Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity.

机构信息

Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.

Casey Eye Institute, Oregon Health & Science University, Portland, Oregon; Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon.

出版信息

Ophthalmol Retina. 2024 Jan;8(1):88-91. doi: 10.1016/j.oret.2023.09.001. Epub 2023 Sep 7.

DOI:10.1016/j.oret.2023.09.001
PMID:37689182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10841666/
Abstract

52% of treated eyes with retinopathy of prematurity in a multicenter cohort didn’t require intervention per evaluation by an independent reading center. An artificial intelligence system detected worse vascular severity in the group designed as treatment-requiring by reading center.

摘要

在一项多中心队列研究中，52% 的早产儿视网膜病变治疗眼在独立阅读中心的评估中无需干预。人工智能系统在阅读中心设计为需要治疗的组中检测到更严重的血管严重程度。