Related Experiment Video
Updated: Aug 16, 2026

Using Retinal Imaging to Study Dementia
Published on: November 6, 2017
SD-OCT Biomarkers and the Current Status of Artificial Intelligence in Predicting Progression from Intermediate to
Ioana Damian1, Simona Delia Nicoară1,2
1Department of Ophthalmology, "Iuliu Hatieganu" University of Medicine and Pharmacy, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania.
Abstract:
Age-related macular degeneration (AMD) is one of the leading causes of blindness in the Western World. Optical coherence tomography (OCT) has revolutionized the diagnosis and follow-up of AMD patients. This review focuses on SD-OCT imaging biomarkers which were identified as predictors for progression in intermediate AMD to late AMD, either geographic atrophy (GA) or choroidal neovascularization (CNV). Structural OCT remains the most compelling modality to study AMD features related to the progression such as drusen characteristics, hyperreflective foci (HRF), reticular pseudo-drusen (RPD), sub-RPE hyper-reflective columns and their impact on retinal layers. Further on, we reviewed articles that attempted to integrate biomarkers that have already proven their involvement in intermediate AMD progression, in their models of artificial intelligence (AI). By combining structural biomarkers with genetic risk and lifestyle the predictive ability becomes more accurate.
More Related Videos
Related Concept Videos
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
Alzheimer's Disease: Treatment
Alzheimer Disease l: Introduction
Dementia l: Introduction

