[1]《人工智能辅助诊断早产儿视网膜病变应用指南（0）》专家组,中国医药教育协会眼科影像与智能医疗分会,国际转化医学会眼科专委会,等.人工智能辅助诊断早产儿视网膜病变应用指南（2023）[J].眼科新进展,2023,43(9):673-679.[doi:10.13389/j.cnki.rao.2023.0136]
　Expert Workgroup of Guidelines for the Application of Artificial Intelligence in Retinopathy of Premature Infants0,Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association,Ophthalmology Committee of International Association of Translational Medicine,et al.Guidelines for the application of artificial intelligence in the auxiliary diagnosis of retinopathy of prematurity (2023)[J].Recent Advances in Ophthalmology,2023,43(9):673-679.[doi:10.13389/j.cnki.rao.2023.0136]
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人工智能辅助诊断早产儿视网膜病变应用指南（2023）/HTML
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《眼科新进展》[ISSN:1003-5141/CN:41-1105/R]

卷:
43卷
期数:
2023年9期
页码:
673-679
栏目:
述评
出版日期:
2023-09-05

文章信息/Info

Title:
Guidelines for the application of artificial intelligence in the auxiliary diagnosis of retinopathy of prematurity (2023)
作者:
《人工智能辅助诊断早产儿视网膜病变应用指南（2023）》专家组; 中国医药教育协会眼科影像与智能医疗分会; 国际转化医学会眼科专委会; 中国眼科影像研究专家组
Author(s):
Expert Workgroup of Guidelines for the Application of Artificial Intelligence in Retinopathy of Premature Infants（2023）;Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association; Ophthalmology Committee of International Association of Translational Medicine; Chinese Ophthalmic Imaging Study Group
关键词:
人工智能; 早产儿视网膜病变; 机器学习; 深度学习; 卷积神经网络
Keywords:
artificial intelligence;  retinopathy of prematurity;  machine learning;  deep learning;  convolutional neural network
分类号:
R774.1
DOI:
10.13389/j.cnki.rao.2023.0136
文献标志码:
A
摘要:
随着社会的发展，越来越多的早产儿得到了有效救治，但同时也导致早产儿视网膜病变（ROP）的发生率增加。ROP起病急、进展快，有效治疗时间窗口窄，因此早期筛查和诊断对于ROP的有效治疗至关重要。人工智能技术的快速发展推动了医疗保健系统智能化进程，机器学习和深度学习等技术的不断提高使得人工智能在眼底疾病的诊断方面的运用也日益广泛。人工智能在ROP辅助诊断中的研究颇多，并取得了一系列的应用进展。本文就人工智能辅助诊断ROP的应用形成指南，为人工智能在该领域中的进一步研究和应用提供参考。
Abstract:
As society develops, a growing number of premature infants have received effective treatment, which, however, increases the incidence of retinopathy of prematurity (ROP). ROP is characterized by acute onset, rapid progression, and short therapeutic windows, so early screening and diagnosis are crucial for the effective treatment of ROP. Artificial intelligence (AI) has made the healthcare system more intelligent. As machine learning and deep learning improve constantly, AI has been widely used in the diagnosis of fundus diseases. There have been a lot of studies on AI in the auxiliary diagnosis of ROP, achieving good results. This article is aimed at forming guidelines on the application of AI in the auxiliary diagnosis of ROP, to provide references for further research on and application of AI in this field.

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备注/Memo

备注/Memo:
国家自然科学基金（编号：82160195，81800804）；江西省双千计划科技创新高端领军人才项目（编号：jxsq2023201036）；江西省重大（重点）研发专项计划（编号：20223BBH80014，20181BBG70004，20203BBG73059）；江西省杰出青年基金（编号：20192BCBL23020）
注：本指南的国际实践指南注册号为 PREPARE-2023CN440（http://www.guidelines-redistry.cn/）。
更新日期/Last Update: 2023-09-05