Retinal image-based artificial intelligence in detecting and predicting kidney diseases: Current advances and future perspectives,VIEW

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Retinal image-based artificial intelligence in detecting and predicting kidney diseases: Current advances and future perspectives
VIEW ( IF 9.7 ) Pub Date : 2023-03-20 , DOI: 10.1002/viw.20220070
Jingyi Wen ₁ , Dong Liu ₁ , Qianni Wu ₁ , Lanqin Zhao ₁ , Wai Cheng Iao ₁ , Haotian Lin _{1,

2}

Affiliation

Artificial intelligence (AI) has reformed the healthcare system with its compelling capabilities of processing biomedical data for disease diagnosis, prediction, and individualized management. The eye, as a non-invasive observation window for many systemic diseases, can be used to detect the signs of chronic kidney diseases, and other diseases like hypertension and type 2 diabetes mellitus, based on specific manifestations of retinal images. Recent advances using AI technology have posed a great potential of using retinal images for rapid mass screening and prognosis prediction of kidney diseases. Herein, we outlined the key applications of AI in ophthalmology and the detection of systemic diseases based on retinal imaging, especially the current progress of retinal image-based AI models for the detection and prediction of kidney diseases. We hope to shed light on the current opportunities and future challenges in this field to provide suggestions for further improvement and applications.

中文翻译：

基于视网膜图像的人工智能在检测和预测肾脏疾病中的应用：当前进展和未来前景

人工智能 (AI) 凭借其处理生物医学数据以进行疾病诊断、预测和个性化管理的强大能力，彻底改变了医疗保健系统。眼睛作为许多全身性疾病的无创观察窗口，可以根据视网膜图像的具体表现来发现慢性肾脏疾病以及高血压、2型糖尿病等其他疾病的体征。人工智能技术的最新进展为利用视网膜图像进行肾脏疾病的快速大规模筛查和预后预测提供了巨大的潜力。在此，我们概述了人工智能在眼科和基于视网膜成像的全身疾病检测中的关键应用，特别是基于视网膜图像的人工智能模型在肾脏疾病检测和预测方面的最新进展。

更新日期：2023-03-20

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