High Confidence Artificial Intelligence (AI) Predictions in Glaucoma Detection: A RIM ONE Database Study
Year: 2025
Type: article
Abstract: Introduction and Objectives: Glaucoma is a progressive optic neuropathy that can lead to irreversible blindness. This study evaluates the use of neural networks in glaucoma prediction with high confidence. Patients or Materials and Methods: The RIM One dataset was used, training an EfficientNetV2B0 model on fundus images. A 95% threshold was set for high-confidence predictions. Results: Sensitivity was 91% and specificity was 99%. Applying the highconfidence threshold increased the AUC to 100%. Conclusions: This study demonstrates the feasibility of using highconfidence AI predictions for glaucoma diagnosis, improving clinical relevance.
Authors: Fernando Ly Yang, Enrique Santos Bueso
Language: English
Topic: Retinal Imaging and Analysis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4411322035