首页|Steno Diabetes Center Copenhagen Reports Findings in Artificial Intelligence (The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population)
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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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.”
CopenhagenDenmarkEuropeArtificial IntelligenceEmerging TechnologiesEye Diseases and ConditionsHealth and MedicineMachine Learning
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