Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy.

ABSTRACT:

Background

Although previous research has made substantial progress in developing high-performance artificial intelligence (AI)-based computer-aided diagnosis (AI-CAD) systems in various medical domains, little attention has been paid to developing and evaluating AI-CAD system in ophthalmology, particularly for diagnosing retinal diseases using optical coherence tomography (OCT) images.

Objective

This diagnostic study aimed to determine the usefulness of a proposed AI-CAD system in assisting ophthalmologists with the diagnosis of central serous chorioretinopathy (CSC), which is known to be difficult to diagnose, using OCT images.

Methods

For the training and evaluation of the proposed deep learning model, 1693 OCT images were collected and annotated. The data set incl

SUBMITTER: Yoon J 

PROVIDER: S-EPMC10719821 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature