Elizabeth Ndunge Mutua, Bernard Shibwabo Kasamani, Christoph Reich
{"title":"深度学习在糖尿病视网膜病变和早产儿视网膜病变诊断中的应用综述。","authors":"Elizabeth Ndunge Mutua, Bernard Shibwabo Kasamani, Christoph Reich","doi":"10.18240/ijo.2025.08.23","DOIUrl":null,"url":null,"abstract":"<p><p>To review the existing deep learning applications for diagnosing diabetic retinopathy and retinopathy of prematurity diseases, the available public retinal databases for the diseases and apply the International Journal of Medical Informatics (IJMEDI) checklist were assessed the quality of included studies; an in-depth literature search in Scopus, Web of Science, IEEE and ACM databases targeting articles from inception up to 31<sup>st</sup> January 2023 was done by two independent reviewers. In the review, 26 out of 1476 articles with a total of 36 models were included. Data size and model validation were found to be challenges for most studies. Deep learning models are gaining focus in the development of medical diagnosis tools and applications. However, there seems to be a critical issue with most of the studies being published, with some not including information about data sources and data sizes which is important for their performance verification.</p>","PeriodicalId":14312,"journal":{"name":"International journal of ophthalmology","volume":"18 8","pages":"1594-1602"},"PeriodicalIF":1.8000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311452/pdf/","citationCount":"0","resultStr":"{\"title\":\"Deep learning applications for diabetic retinopathy and retinopathy of prematurity diseases diagnosis: a systematic review.\",\"authors\":\"Elizabeth Ndunge Mutua, Bernard Shibwabo Kasamani, Christoph Reich\",\"doi\":\"10.18240/ijo.2025.08.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To review the existing deep learning applications for diagnosing diabetic retinopathy and retinopathy of prematurity diseases, the available public retinal databases for the diseases and apply the International Journal of Medical Informatics (IJMEDI) checklist were assessed the quality of included studies; an in-depth literature search in Scopus, Web of Science, IEEE and ACM databases targeting articles from inception up to 31<sup>st</sup> January 2023 was done by two independent reviewers. In the review, 26 out of 1476 articles with a total of 36 models were included. Data size and model validation were found to be challenges for most studies. Deep learning models are gaining focus in the development of medical diagnosis tools and applications. However, there seems to be a critical issue with most of the studies being published, with some not including information about data sources and data sizes which is important for their performance verification.</p>\",\"PeriodicalId\":14312,\"journal\":{\"name\":\"International journal of ophthalmology\",\"volume\":\"18 8\",\"pages\":\"1594-1602\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311452/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of ophthalmology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.18240/ijo.2025.08.23\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of ophthalmology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.18240/ijo.2025.08.23","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
为了回顾现有的深度学习在诊断糖尿病视网膜病变和早产儿视网膜病变方面的应用,利用现有的公共视网膜数据库并应用国际医学信息学杂志(IJMEDI)检查表评估纳入研究的质量;两位独立审稿人对Scopus、Web of Science、IEEE和ACM数据库进行了深入的文献检索,目标是从成立到2023年1月31日的文章。本次综述共纳入1476篇文献中的26篇,共36个模型。数据大小和模型验证被发现是大多数研究的挑战。深度学习模型在医疗诊断工具和应用的开发中越来越受到关注。然而,大多数已发表的研究似乎存在一个关键问题,其中一些研究没有包括对其性能验证很重要的数据源和数据大小的信息。
Deep learning applications for diabetic retinopathy and retinopathy of prematurity diseases diagnosis: a systematic review.
To review the existing deep learning applications for diagnosing diabetic retinopathy and retinopathy of prematurity diseases, the available public retinal databases for the diseases and apply the International Journal of Medical Informatics (IJMEDI) checklist were assessed the quality of included studies; an in-depth literature search in Scopus, Web of Science, IEEE and ACM databases targeting articles from inception up to 31st January 2023 was done by two independent reviewers. In the review, 26 out of 1476 articles with a total of 36 models were included. Data size and model validation were found to be challenges for most studies. Deep learning models are gaining focus in the development of medical diagnosis tools and applications. However, there seems to be a critical issue with most of the studies being published, with some not including information about data sources and data sizes which is important for their performance verification.
期刊介绍:
· International Journal of Ophthalmology-IJO (English edition) is a global ophthalmological scientific publication
and a peer-reviewed open access periodical (ISSN 2222-3959 print, ISSN 2227-4898 online).
This journal is sponsored by Chinese Medical Association Xi’an Branch and obtains guidance and support from
WHO and ICO (International Council of Ophthalmology). It has been indexed in SCIE, PubMed,
PubMed-Central, Chemical Abstracts, Scopus, EMBASE , and DOAJ. IJO JCR IF in 2017 is 1.166.
IJO was established in 2008, with editorial office in Xi’an, China. It is a monthly publication. General Scientific
Advisors include Prof. Hugh Taylor (President of ICO); Prof.Bruce Spivey (Immediate Past President of ICO);
Prof.Mark Tso (Ex-Vice President of ICO) and Prof.Daiming Fan (Academician and Vice President,
Chinese Academy of Engineering.
International Scientific Advisors include Prof. Serge Resnikoff (WHO Senior Speciatist for Prevention of
blindness), Prof. Chi-Chao Chan (National Eye Institute, USA) and Prof. Richard L Abbott (Ex-President of
AAO/PAAO) et al.
Honorary Editors-in-Chief: Prof. Li-Xin Xie(Academician of Chinese Academy of
Engineering/Honorary President of Chinese Ophthalmological Society); Prof. Dennis Lam (President of APAO) and
Prof. Xiao-Xin Li (Ex-President of Chinese Ophthalmological Society).
Chief Editor: Prof. Xiu-Wen Hu (President of IJO Press).
Editors-in-Chief: Prof. Yan-Nian Hui (Ex-Director, Eye Institute of Chinese PLA) and
Prof. George Chiou (Founding chief editor of Journal of Ocular Pharmacology & Therapeutics).
Associate Editors-in-Chief include:
Prof. Ning-Li Wang (President Elect of APAO);
Prof. Ke Yao (President of Chinese Ophthalmological Society) ;
Prof.William Smiddy (Bascom Palmer Eye instituteUSA) ;
Prof.Joel Schuman (President of Association of University Professors of Ophthalmology,USA);
Prof.Yizhi Liu (Vice President of Chinese Ophtlalmology Society);
Prof.Yu-Sheng Wang (Director of Eye Institute of Chinese PLA);
Prof.Ling-Yun Cheng (Director of Ocular Pharmacology, Shiley Eye Center, USA).
IJO accepts contributions in English from all over the world. It includes mainly original articles and review articles,
both basic and clinical papers.
Instruction is Welcome Contribution is Welcome Citation is Welcome
Cooperation organization
International Council of Ophthalmology(ICO), PubMed, PMC, American Academy of Ophthalmology, Asia-Pacific, Thomson Reuters, The Charlesworth Group, Crossref,Scopus,Publons, DOAJ etc.