Publications by authors named "Samuel D Giesser"
Recently, a deep learning algorithm (DLA) has been developed to predict the chronological age from retinal images. The Retinal Age Gap (RAG), a deviation between predicted age from retinal images (Retinal Age, RA) and chronological age, correlates with mortality and age-related diseases. This study evaluated the reliability and accuracy of RA predictions and analyzed various factors that may influence them.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to assess the reliability of retinal parameters from fundus photography using artificial intelligence, highlighting discrepancies in existing research results.
- Two patient groups were used: one to measure reliability over time (intervisit) and another to measure it within a single session (intravisit) using AI-generated vessel segmentation maps.
- Results showed varying levels of reliability with high accuracy in segmentation maps, yet significant differences in metrics across test sessions, indicating that while the technology is promising, consistency in measurements needs further evaluation.
A New Retest-Stable Tortuosity Metric for Retinal Vessel Analyses.
Invest Ophthalmol Vis Sci
October 2024
Purpose: Existing retinal vessel tortuosity metrics lack standardization and retest reliability, hindering their clinical utility. Our study addresses this gap by introducing a novel metric, coined as the "vascular curvature index" (VCI), to enhance accuracy and consistency in biomarkers associated with medical conditions. We assess VCI's performance in terms of retest reliability in healthy subjects to transform early detection and monitoring approaches for various diseases.
View Article and Find Full Text PDF