{"title":"Application and prospect of artificial intelligence in the analysis of fundus images of pathological myopia","authors":"Xun Xu","doi":"10.3760/CMA.J.ISSN.1005-1015.2019.05.001","DOIUrl":null,"url":null,"abstract":"Pathological myopia is one of the most challenging clinical diseases in the field of ophthalmology. The accurate definition, standard classification, disease evolution mechanism and disease prevention and treatment strategies are still under investigation. The development and application of artificial intelligence provides a powerful tool for the analysis of pathological myopia related data. More and more accurate data information is obtained in the clinical work and clinical research of pathological myopia through the standardized collection and acquisition of the fundus image data, the automatic segmentation and quantitative analysis of the fundus physiological structure, the automatic detection and analysis of the pathological myopia classic lesions and the clinical diagnosis and treatment decision aid, which helps ophthalmologists to understand the pathogenesis and evolution of pathological myopia. \n \n \nKey words: \nMyopia, degenerative; Artificial intelligence; Editorial","PeriodicalId":10103,"journal":{"name":"中华眼底病杂志","volume":"35 1","pages":"427-431"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华眼底病杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1005-1015.2019.05.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Pathological myopia is one of the most challenging clinical diseases in the field of ophthalmology. The accurate definition, standard classification, disease evolution mechanism and disease prevention and treatment strategies are still under investigation. The development and application of artificial intelligence provides a powerful tool for the analysis of pathological myopia related data. More and more accurate data information is obtained in the clinical work and clinical research of pathological myopia through the standardized collection and acquisition of the fundus image data, the automatic segmentation and quantitative analysis of the fundus physiological structure, the automatic detection and analysis of the pathological myopia classic lesions and the clinical diagnosis and treatment decision aid, which helps ophthalmologists to understand the pathogenesis and evolution of pathological myopia.
Key words:
Myopia, degenerative; Artificial intelligence; Editorial
期刊介绍:
Chinese Journal of Ocular Fundus Diseases is the only scientific journal in my country that focuses on reporting fundus diseases. Its purpose is to combine clinical and basic research, and to give equal importance to improvement and popularization. It comprehensively reflects the leading clinical and basic research results of fundus disease disciplines in my country; cultivates professional talents in fundus disease, promotes the development of fundus disease disciplines in my country; and promotes academic exchanges on fundus disease at home and abroad. The coverage includes clinical and basic research results of posterior segment diseases such as retina, uveal tract, vitreous body, visual pathway, and internal eye diseases related to systemic diseases. The readers are medical workers and researchers related to clinical and basic research of fundus diseases. According to the journal retrieval report of the Chinese Institute of Scientific and Technological Information, the comprehensive ranking impact factor and total citation frequency of the Chinese Journal of Ocular Fundus Diseases have been among the best in the disciplines of ophthalmology, otolaryngology, and ophthalmology in my country for many years. The papers published have been included in many important databases at home and abroad, such as Scopus, Peking University Core, and China Science Citation Database (CSCD).