摘要
基于深度学习(DL)的人工智能技术(AI)在糖尿病性视网膜病变(DR)的应用研究中表现出了良好的效果和巨大的潜力，与远程医疗技术结合对于基层筛查和监测DR患者，可显著提高工作效率。目前，DL应用于DR的研究中还面临着匹配临床需求、可解释性、技术瓶颈以及医师与患者对DL系统的接受度等问题。本文中笔者就近年来DL技术在DR筛查、评级、预测和优化管理等方面的研究进展进行综述。
Abstract
Artificial intelligence technology (AI) based on deep learning (DL) has shown good results and great potential in the application research of diabetes retinopathy (DR). Combining with telemedicine technology can significantly improve the work efficiency for grassroots screening and monitoring DR patients. At present, the application of DL in DR research still faces issues such as matching clinical needs, interpretability, technical bottlenecks, and the acceptance of DL systems by physicians and patients. The research progress of DL technology in DR screening, rating, prediction, and optimization management in recent years was reviewed in this paper.
基金项目
陕西省重点研发计划项目(2021SF-162)
西安市科技计划重大研究项目(201805104YX12SF383)
西安市人民医院(西安市第四医院)科研孵化基金(FZ-59)
万方数据