Diabetic retinopathy screening with confocal fundus camera and artificial intelligence - assisted grading.

Journal: European journal of ophthalmology

Published Date: Aug 7, 2024

Abstract

PURPOSE: Screening for diabetic retinopathy (DR) by ophthalmologists is costly and labour-intensive. Artificial Intelligence (AI) for automated DR detection could be a clinically and economically alternative. We assessed the performance of a confocal fundus imaging system (DRSplus, Centervue SpA), coupled with an AI algorithm (RetCAD, Thirona B.V.) in a real-world setting.

Authors

A Piatti

Eye-Unit, Primary Care, ASL TO5, Regione Piemonte, Italy.
C Rui

Centervue SpA, Padova, Italy.
S Gazzina

Centervue SpA, Padova, Italy.
B Tartaglino

Chaira Medica Association, Chieri, Italy.
F Romeo

Metabolism and Diabetes Unit, ASLTO 5, Regione Piemonte, Italy.
R Manti

Metabolism and Diabetes Unit, ASLTO 5, Regione Piemonte, Italy.
M Doglio

Metabolism and Diabetes Unit, ASLTO 5, Regione Piemonte, Italy.
E Nada

Metabolism and Diabetes Unit, ASLTO 5, Regione Piemonte, Italy.
C B Giorda

Metabolism and Diabetes Unit, ASLTO 5, Regione Piemonte, Italy.

Keywords

Adult Aged Algorithms Artificial Intelligence Diabetic Retinopathy Female Fundus Oculi Humans Male Mass Screening Middle Aged Photography Reproducibility of Results Retina Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (39109554)

Diabetic retinopathy screening with confocal fundus camera and artificial intelligence - assisted grading.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals