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.
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)。
