Real-World Evaluation of Artificial Intelligence-Based Diabetic Retinopathy Screening Using the Optomed Aurora Handheld Fundus Camera.

IF 6.3 2区医学 Q1 ENDOCRINOLOGY & METABOLISM

Diabetes technology & therapeutics Pub Date : 2025-08-18 DOI:10.1177/15209156251369886

Petri Huhtinen, Anna-Maria Kubin, Kamila Dvořák, Martin Sliva, Jan Bayer, Nina Hautala

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Abstract

Diabetic retinopathy (DR) is a common and potentially sight-threatening complication of diabetes. Early detection of DR through screening can prevent visual loss. Handheld fundus cameras combined with artificial intelligence (AI) technology may improve DR screening. We evaluated the Aireen AI algorithm's performance in grading DR in fundus images captured by the handheld Optomed Aurora. Two retina specialists and Aireen graded 624 fundus images for DR. Sensitivity, specificity, and predictive values were measured against the ophthalmologists' grading. Overall, 97% of images were sufficient for DR classification. Aireen demonstrated 94.8% sensitivity, 91.4% specificity, and 92.7% diagnostic accuracy for DR. Aireen showed high diagnostic accuracy in detecting DR in Optomed Aurora images, suggesting its potential for effective screening. The validated use of AI with a handheld fundus camera may streamline the screening process, reduce the burden on health care professionals, and improve access to screening and patient outcomes through enhanced diagnostic accuracy.

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使用Optomed Aurora手持式眼底相机进行基于人工智能的糖尿病视网膜病变筛查的现实世界评估。

糖尿病视网膜病变（DR）是糖尿病的一种常见且潜在威胁视力的并发症。通过筛查早期发现DR可以防止视力丧失。手持式眼底相机结合人工智能（AI）技术可以改善DR筛查。我们评估了Aireen AI算法在手持式Optomed Aurora捕获的眼底图像中分级DR的性能。两名视网膜专家和Aireen对624张眼底图像进行了dr分级。根据眼科医生的分级，测量了灵敏度、特异性和预测值。总体而言，97%的图像足以进行DR分类。Aireen对DR的敏感性为94.8%，特异性为91.4%，诊断准确率为92.7%。在Optomed Aurora图像中，Aireen对DR的诊断准确率较高，提示其具有有效筛查的潜力。人工智能与手持式眼底相机的有效使用可以简化筛查过程，减轻卫生保健专业人员的负担，并通过提高诊断准确性来改善筛查和患者结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diabetes technology & therapeutics 医学-内分泌学与代谢

CiteScore

10.60

自引率

14.80%

发文量

145

审稿时长

3-8 weeks

期刊介绍： Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.