Application of deep learning-based retinal imaging in management of Alzhei-mer's disease
10.13389/j.cnki.rao.2024.0127
- VernacularTitle:深度学习探讨视网膜成像在阿尔茨海默病管理中的应用
- Author:
Meichu WU
1
,
2
;
Yinyu KE
;
Yunhua TANG
;
Fuwen ZHANG
Author Information
1. 610075 四川省成都市,成都中医药大学眼科学院
2. 610075 四川省成都市,中医药眼病防治与视功能保护四川省重点实验室
- Keywords:
Alzheimer's disease;
artificial intelligence;
deep learning;
image classification and analysis;
optical co-herence tomography;
optical coherence tomography angiography;
fundus photography
- From:
Recent Advances in Ophthalmology
2024;44(8):663-667
- CountryChina
- Language:Chinese
-
Abstract:
Alzheimer's disease(AD)is an irreversible neurodegenerative disorder,making early screening and diagno-sis pivotal for its effective treatment.The complexity of diagnosing AD,however,poses significant challenges for primary-level screening.As an extension of the central nervous system,the retina exhibits changes closely linked to AD,offering a new pathway for non-invasive early detection of AD.In recent years,deep learning(DL)has achieved notable advance-ments in the medical field,especially in image recognition and analysis.The synergy between DL and retinal imaging has unveiled substantial potential in diagnosing and treating AD.This article reviews the advancements in applying DL to ana-lyze retinal images related to AD,encompassing the diagnosis,prediction of progression,and long-term management of AD,as well as the current shortcomings in clinical practice,providing a reference for further research into the application of DL in retinal imaging for AD.
