Implementation of Artificial Intelligence-Based Diabetic Retinopathy Screening in a Tertiary Care Hospital in Quebec: Prospective Validation Study.

Fares Antaki Imane Hammana Marie-Catherine Tessier Andrée Boucher Maud Laurence David Jetté Catherine Beauchemin Karim Hammamji Ariel Yuhan Ong Marc-André Rhéaume Danny Gauthier Mona Harissi-Dagher Pearse Andrew Keane Alfons Pomp

Published in: JMIR diabetes (2024)

Our study indicates that integrating a semiautomated AI system for DR screening demonstrates high sensitivity for detecting referable disease in a real-world setting. This system has the potential to improve screening efficiency and reduce costs at the CHUM, but more work is needed to validate it.

Keyphrases

artificial intelligence
diabetic retinopathy
machine learning
big data
deep learning
primary care
optical coherence tomography
healthcare
climate change
risk assessment