{"title":"人工智能在眼病诊断中的应用","authors":"Y. Tong, Wei Lu, Y. Xing","doi":"10.3760/CMA.J.ISSN.1005-1015.2019.05.019","DOIUrl":null,"url":null,"abstract":"Ophthalmic imaging examination is the main basis for early screening, evaluation and diagnosis of eye diseases. In recent years, with the improvement of computer data analysis ability, the deepening of new algorithm research and the popularization of big data platform, artificial intelligence (AI) technology has developed rapidly and become a hot topic in the field of medical assistant diagnosis. The advantage of AI is accurate and efficient, which has great application value in processing image-related data. The application of AI not only helps to promote the development of AI research in ophthalmology, but also helps to establish a new medical service model for ophthalmic diagnosis and promote the process of prevention and treatment of blindness. Future research of ophthalmic AI should use multi-modal imaging data comprehensively to diagnose complex eye diseases, integrate standardized and high-quality data resources, and improve the performance of algorithms. \n \n \nKey words: \nArtificial intelligence; Diagnostic techniques, ophthalmological; Review","PeriodicalId":10103,"journal":{"name":"中华眼底病杂志","volume":"35 1","pages":"506-509"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applications of artificial intelligence in the diagnosis of eye diseases\",\"authors\":\"Y. Tong, Wei Lu, Y. Xing\",\"doi\":\"10.3760/CMA.J.ISSN.1005-1015.2019.05.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ophthalmic imaging examination is the main basis for early screening, evaluation and diagnosis of eye diseases. In recent years, with the improvement of computer data analysis ability, the deepening of new algorithm research and the popularization of big data platform, artificial intelligence (AI) technology has developed rapidly and become a hot topic in the field of medical assistant diagnosis. The advantage of AI is accurate and efficient, which has great application value in processing image-related data. The application of AI not only helps to promote the development of AI research in ophthalmology, but also helps to establish a new medical service model for ophthalmic diagnosis and promote the process of prevention and treatment of blindness. Future research of ophthalmic AI should use multi-modal imaging data comprehensively to diagnose complex eye diseases, integrate standardized and high-quality data resources, and improve the performance of algorithms. \\n \\n \\nKey words: \\nArtificial intelligence; Diagnostic techniques, ophthalmological; Review\",\"PeriodicalId\":10103,\"journal\":{\"name\":\"中华眼底病杂志\",\"volume\":\"35 1\",\"pages\":\"506-509\"},\"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.1005-1015.2019.05.019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华眼底病杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1005-1015.2019.05.019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
Applications of artificial intelligence in the diagnosis of eye diseases
Ophthalmic imaging examination is the main basis for early screening, evaluation and diagnosis of eye diseases. In recent years, with the improvement of computer data analysis ability, the deepening of new algorithm research and the popularization of big data platform, artificial intelligence (AI) technology has developed rapidly and become a hot topic in the field of medical assistant diagnosis. The advantage of AI is accurate and efficient, which has great application value in processing image-related data. The application of AI not only helps to promote the development of AI research in ophthalmology, but also helps to establish a new medical service model for ophthalmic diagnosis and promote the process of prevention and treatment of blindness. Future research of ophthalmic AI should use multi-modal imaging data comprehensively to diagnose complex eye diseases, integrate standardized and high-quality data resources, and improve the performance of algorithms.
Key words:
Artificial intelligence; Diagnostic techniques, ophthalmological; Review
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).