AI-Assisted Optical Coherence Tomography Segmentation for Enhanced Diagnosis of Inherited Retinal Diseases.

ABSTRACT:

Purpose

Inherited retinal diseases (IRDs) are rare and diverse, posing a diagnostic challenge in ophthalmology. This study aimed to determine whether artificial intelligence (AI)-assisted image processing can improve IRD diagnosis and provide insights into disease characteristics. We used an optical coherence tomography (OCT) segmentation algorithm to characterize retinal features in IRDs. Two control groups were included to enhance the contextual understanding of these features: healthy eyes and eyes with age-related macular degeneration (AMD). An AI-driven classification model was then used to classify the data into disease and control groups.

Methods

We analyzed 327 images from 181 patients with IRD and 146 control individuals, including healthy subjects and patients with

SUBMITTER: Peter VG 

PROVIDER: S-EPMC12697681 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature