Artificial intelligence for diabetic retinopathy

作     者：Sicong Li Ruiwei Zhao Haidong Zou Sicong Li;Ruiwei Zhao;Haidong Zou

作者机构：Department of OphthalmologyShanghai General Hospital(Shanghai First People's Hospital)Shanghai Jiao Tong University School of MedicineShanghai 200080China Shanghai Eye Diseases Prevention and Treatment CenterShanghai Eye HospitalShanghai 200040China Fudan UniversityShanghaiChina Shanghai Key Laboratory of Fundus DiseasesShanghai 200080China National Clinical Research Center for Eye DiseasesShanghai 200080China Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye DiseasesShanghai 200080China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2022年第135卷第3期

页      面：253-260页

核心收录：

学科分类：1002[医学-临床医学] 100212[医学-眼科学] 10[医学] 

基　　金：This work was supported by grants from the Chinese National Natural Science Foundation(No.82071012) The Project of Shanghai Shen Kang Hospital Development Centre(Nos.SHDC2020CR30538 and SHDC2018110) Shanghai Engineering Research Center of Precise Diagnosis and Treatment of Eye Diseases,Shanghai,China(No.19DZ2250100) The Science and Technology Commission of Shanghai Municipality(No.20DZ1100200) Shanghai Public Health System Three-Year Plan-Key Subjects(No.GWV10.1-XK7) Shanghai General Hospital,Clinical Research(CTCCR-2018Z01)。 

主　　题：Artificial intelligence Deep learning Diabetic retinopathy 

摘      要：Diabetic retinopathy(DR)is an important cause of blindness globally,and its prevalence is increasing.Early detection and intervention can help change the outcomes of the disease.The rapid development of artificial intelligence(AI)in recent years has led to new possibilities for the screening and diagnosis of DR.An AI-based diagnostic system for the detection of DR has significant advantages,such as high efficiency,high accuracy,and lower demand for human resources.At the same time,there are shortcomings,such as the lack of standards for development and evaluation and the limited scope of application.This article demonstrates the current applications of AI in the field of DR,existing problems,and possible future development directions.