作者：
Trine Jul Larsen*;Maria Bråthen Pettersen;Helena Nygaard Jensen;Michael Lynge Pedersen;Henrik Lund-Andersen;...
通讯作者：
Trine Jul Larsen
作者机构：
Greenland Center of Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland
Clinical Epidemiology, Steno Diabetes Center Copenhagen, Copenhagen, Denmark
Clinical Epidemiology, Steno Diabetes Center Copenhagen, Copenhagen, Denmark
Greenland Center of Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland
Rigshospitalet-Glostrup University Hospital, Glostrup, Denmark
Clinical Epidemiology, Steno Diabetes Center Copenhagen, Copenhagen, Denmark
Rigshospitalet-Glostrup University Hospital, Glostrup, Denmark
Steno Diabetes Center Greenland, Nuuk, Greenland
Clinical Epidemiology, Steno Diabetes Center Copenhagen, Copenhagen, Denmark
通讯机构：
Greenland Center of Health Research, Institute of Nursing and Health Science, University of Greenland, Nuuk, Greenland
语种：
英文
关键词：
Diabetic retinopathy,artificial intelligence,screening,ultra wide-field,ICDR-scale
期刊：
INTERNATIONAL JOURNAL OF CIRCUMPOLAR HEALTH
ISSN：
1239-9736
年：
2024
卷：
83
期：
1
页码：
2314802
基金类别：
The work was supported by the Pinngortitaleriffik [80.28].
摘要：
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 ...
