Deep Learning-Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation.

ABSTRACT:

Background

Retinal imaging has been applied for detecting eye diseases and cardiovascular risks using deep learning-based methods. Furthermore, retinal microvascular and structural changes were found in renal function impairments. However, a deep learning-based method using retinal images for detecting early renal function impairment has not yet been well studied.

Objective

This study aimed to develop and evaluate a deep learning model for detecting early renal function impairment using retinal fundus images.

Methods

This retrospective study enrolled patients who underwent renal function tests with color fundus images captured at any time between January 1, 2001, and August 31, 2019. A deep learning model was constructed to detect impaired renal function from the imag

SUBMITTER: Kang EY 

PROVIDER: S-EPMC7728538 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature