糖尿病视网膜病变预测模型的研究现状:从传统风险因素到人工智能
Research Status of Diabetic Retinopathy Prediction Models: From Traditional Risk Factors to Artificial Intelligence
DOI: 10.12677/jcpm.2026.51048, PDF,   
作者: 李银娟*, 向明钧:吉首大学医学院,湖南 吉首;王 倩:南华大学衡阳医学院,湖南 衡阳;甘胜莲#:中南大学湘雅医学院附属常德医院(常德市第一人民医院)内分泌科,湖南 常德
关键词: 糖尿病视网膜病变危险因素预测模型人工智能深度学习Diabetic Retinopathy Risk Factors Prediction Model Artificial Intelligence Deep Learning
摘要: 本文围绕糖尿病视网膜病变(diabetic retinopathy, DR)的核心发病机制、病变危险因素、预测模型研究进展展开论述。重点阐述了人工智能(AI)在糖尿病视网膜病变筛查与诊断中的应用,旨在为构建更为优化、简单、有效的风险预测模型提供借鉴。
Abstract: This article focuses on the core pathogenesis, risk factors and prediction models of diabetic retinopathy (DR). This paper focuses on the application of artificial intelligence (AI) in the screening and diagnosis of diabetic retinopathy, aiming to provide reference for the construction of a more optimized, simple and effective risk prediction model.
文章引用:李银娟, 王倩, 甘胜莲, 向明钧. 糖尿病视网膜病变预测模型的研究现状:从传统风险因素到人工智能[J]. 临床个性化医学, 2026, 5(1): 332-340. https://doi.org/10.12677/jcpm.2026.51048

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