[关键词]
[摘要]
文章综述了人工智能(AI)在视网膜血管参数分析中的应用及其进展。视网膜血管参数包括血管管径、分形维数、血管弯曲度、分支夹角和血管密度等，是评估视网膜血管网络结构变化的重要指标。这些参数不仅与多种眼科疾病相关，还能反映糖尿病、阿尔茨海默病等全身性疾病的状况。文章详细探讨了AI技术在自动化识别和量化视网膜血管参数方面的优势，尤其是在提高测量效率和准确性方面的贡献，同时AI的应用使得早期检测和监测多种疾病成为可能。此外，文章还讨论了AI在视网膜血管参数分析中面临的挑战，如数据标准化和样本多样性不足等问题，并提出了未来研究的方向。通过深入分析AI在视网膜血管参数分析中的应用，文章旨在为临床诊断和疾病早期干预提供新的视角和方法，具有重要的临床意义和应用前景。
[Key word]
[Abstract]
This review summarizes the applications and advancements of artificial intelligence(AI)in the analysis of retinal vascular parameters. Retinal vascular parameters, including vessel diameter, fractal dimension, vascular tortuosity, branching angles, and vessel density, are important indicators for assessing changes in the retinal vascular network structure. These parameters are not only related to various ophthalmic diseases but also reflect the conditions of systemic diseases such as diabetes and Alzheimer's disease. This article provides a detailed discussion on the advantages of AI technology in the automated identification and quantification of retinal vascular parameters, particularly in improving measurement efficiency and accuracy, and enabling the early detection and monitoring of various diseases. Additionally, the challenges faced by AI in the analysis of retinal vascular parameters were discussed, such as data standardization and insufficient sample diversity, and proposes directions for future research. By thoroughly analyzing the application of AI in retinal vascular parameter analysis, this article aims to offer new perspectives and methods for clinical diagnosis and early intervention of diseases, holding significant clinical significance and application prospects.
[中图分类号]
[基金项目]
山西省医学重点科研项目(No.2022XM18)
