Assessment of Artificial Intelligence software for automatic screening of Diabetic Retinopathy based on fundus photographs in Melanoderm subjects.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-15 DOI:10.1097/IAE.0000000000004310
Soda Mbaye, Aïssatou Aw, El Hadji Malick Sy, Aly Mbara Ka, Jean Pierre Diagne, Hawo Madina Diallo, Audrey Samra, Papa Amadou Ndiaye
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Abstract

Purpose: To assess the Gaiha Prio Retino +™Artificial Intelligence (AI) software for detecting diabetic retinopathy (DR).

Methods: This prospective study was conducted from March 1, 2021 to September 30, 2022 in the Ophthalmology department of the Abass NDAO Hospital (Dakar, Senegal). The clinical classification of DR was based on American Academy of Ophthalmology's. The clinical results were compared to those obtained from the automated reading of retinophotos taken using Gaiha Prio Retino +™, a software designed to detect DR.

Results: The study covered 305 eyes. Referable DR was observed in 104 eyes by the ophthalmologist and in 96 eyes by AI, corresponding with a sensitivity of 92.31%, a specificity of 99%, and an area under the curve (AUC) of 0.989. Vision-threatening DR was detected in 102 eyes by the ophthalmologist and in 94 eyes by AI, with a corresponding sensitivity of 92.16%, specificity of 99.01%, and an AUC of 0.975. Maculopathy was identified in 93 eyes by the ophthalmologist and in 89 eyes by AI, with a corresponding sensitivity of 95.7%, specificity of 97.17%, and an AUC of 0.988.

Conclusion: Considering these results, we may conclude that Gaiha Prio Retino +™ is an effective tool for screening referable DR.

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基于黑色素受试者眼底照片自动筛查糖尿病视网膜病变的人工智能软件评估。
目的:评估用于检测糖尿病视网膜病变(DR)的 Gaiha Prio Retino +™ 人工智能(AI)软件:这项前瞻性研究于 2021 年 3 月 1 日至 2022 年 9 月 30 日在塞内加尔达喀尔 Abass NDAO 医院眼科进行。DR 的临床分类以美国眼科学会的分类为基础。临床结果与使用 Gaiha Prio Retino +™ 自动读取视网膜照片获得的结果进行了比较:研究覆盖了 305 只眼睛。眼科医生发现 104 只眼睛存在可转诊的 DR,人工智能发现 96 只眼睛存在可转诊的 DR,灵敏度为 92.31%,特异度为 99%,曲线下面积 (AUC) 为 0.989。眼科医生检测出 102 只眼睛存在视力危及的 DR,人工智能检测出 94 只眼睛存在视力危及的 DR,灵敏度为 92.16%,特异性为 99.01%,曲线下面积(AUC)为 0.975。眼科医生在 93 只眼睛中发现了黄斑病变,人工智能在 89 只眼睛中发现了黄斑病变,相应的灵敏度为 95.7%,特异性为 97.17%,AUC 为 0.988:综上所述,我们可以得出结论:Gaiha Prio Retino +™ 是筛查可转诊 DR 的有效工具。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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