Robotics & Machine Learning Daily News2024,Issue(Mar.1) :52-53.

Steno Diabetes Center Copenhagen Reports Findings in Artificial Intelligence (The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population)

Robotics & Machine Learning Daily News2024,Issue(Mar.1) :52-53.

Steno Diabetes Center Copenhagen Reports Findings in Artificial Intelligence (The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Copenhagen, Denmark, by NewsRx correspondents, research stated, “Retina fundus images conducted in Greenland are telemedically assessed for diabetic retinopathy by ophthalmo- logical nurses in Denmark. Applying an AI grading solution, in a Greenlandic setting, could potentially improve the efficiency and cost-effectiveness of DR screening.” Our news editors obtained a quote from the research from Steno Diabetes Center Copenhagen, “We developed an AI model using retina fundus photos, performed on persons registered with diabetes in Greenland and Denmark, using Optos® ultra wide-field scanning laser ophthalmoscope, graded according to ICDR.Using the ResNet50 network we compared the model’s ability to distinguish between different images of ICDR severity levels in a confusion matrix. Comparing images with ICDR level 0 to images of ICDR level 4 resulted in an accuracy of 0.9655, AUC of 0.9905, sensitivity and specificity of 96.6%.Comparing ICDR levels 0,1,2 with ICDR levels 3,4, we achieved a performance with an accuracy of 0.8077, an AUC of 0.8728, a sensitivity of 84.6% and a specificity of 78.8%. For the other comparisons, we achieved a modest performance. We developed an AI model using Greenlandic data, to automatically detect DR on Optos retina fundus images.”

Key words

Copenhagen/Denmark/Europe/Artificial Intelligence/Emerging Technologies/Eye Diseases and Conditions/Health and Medicine/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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