The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population

The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population

Background: Retina fundus images conducted in Greenland are telemedically assessed for diabetic retinopathy by ophthalmological nurses in Denmark. Applying an AI grading solution, in a Greenlandic setting, could potentially improve the efficiency and cost-effectiveness of DR screening.Method: We dev...

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Bibliographic Details
Main Authors: Trine Jul Larsen, Maria Bråthen Pettersen, Helena Nygaard Jensen, Michael Lynge Pedersen, Henrik Lund-Andersen, Marit Eika Jørgensen, Stine Byberg
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Circumpolar Health
Subjects:
Diabetic retinopathy
artificial intelligence
screening
ultra wide-field
ICDR-scale
Online Access:https://www.tandfonline.com/doi/10.1080/22423982.2024.2314802
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https://www.tandfonline.com/doi/10.1080/22423982.2024.2314802

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