Real-world artificial intelligence-based interpretation of fundus imaging as part of an eyewear prescription renewal protocol.

Journal: Journal francais d'ophtalmologie

Published Date: Mar 8, 2024

Abstract

OBJECTIVE: A real-world evaluation of the diagnostic accuracy of the Opthai® software for artificial intelligence-based detection of fundus image abnormalities in the context of the French eyewear prescription renewal protocol (RNO).

Authors

F-P Roubelat

Ophthalmology Department, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France.
V Soler

Ophthalmology Department, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France.
F Varenne

Ophthalmology Department, Pierre-Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France.
V Gualino

Ophthalmology Department, Clinique Honoré-Cave, Montauban, France. Electronic address: dr.vgualino@gmail.com.

Keywords

Adolescent Adult Artificial Intelligence Child Female France Fundus Oculi Humans Male Middle Aged Ophthalmologists Retinal Diseases Retrospective Studies Sensitivity and Specificity Software Young Adult

External Resources

View on PubMed Access via DOI PubMed (38461084)

Real-world artificial intelligence-based interpretation of fundus imaging as part of an eyewear prescription renewal protocol.

Abstract

Authors

Keywords

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