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通过手持视网膜摄像头,人工智能和同时的专家确认,对糖尿病视网膜病变的同步诊断

Gustavo Barreto Melo¹, Luis Filipe Nakayama², Viviane Santos Cardoso³

¹Department of Ophthalmology, Federal University of São Paulo, São Paulo-SP, Brazil; Hospital de Olhos de Sergipe, Aracaju-SE, Brazil; Retina Clinic, São Paulo-SP, Brazil.

Ophthalmology. Retina

|May 16, 2024

概括

带有人工智能和远程专家审查的便携式摄像头提供了一种在偏远地区查糖尿病视网膜病变 (DR) 的新方法. 这项技术可以通过为患者提供快速诊断和反来帮助预防失明.

科学领域:

眼科医生眼科眼科
人工智能的人工智能
公共卫生公共卫生

背景情况:

糖尿病视网膜病变 (DR) 是可预防失明的主要原因,特别是在服务不足的地区,眼睛护理的机会有限.
早期发现和管理DR是预防视力丧失的关键.

研究的目的:

为了证明使用便携式手持视网膜摄像机与嵌入式AI平台用于DR查的可行性.
评估视网膜专家对DR查在农村服务不足地区同步远程确认的有效性.

主要方法:

一项回顾性队列研究,涉及巴西东北部1115名糖尿病患者.
便携式手持视网膜摄像机用于图像捕捉,由人工智能系统分析.
由视网膜专家进行同步远程验证,并立即提供患者反.

主要成果:

人工智能系统在检测可引用的DR病例方面表现出很高的表现 (灵敏度为84.23%,特异性为80.79%).
总体检测任何可引用条件 (DR或其他) 的敏感度为84.23%,特异性为80.79%.
在匹配任何临床诊断方面,AI的性能达到85.67%的灵敏度和98.86%的特异性.

结论:

集成便携式设备,人工智能和远程专家验证,有望防止DR相关的失明.
这种方法在解决社会不平等环境中的健康差异方面尤其有价值.

关键词:

人工智能的人工智能是人工智能.糖尿病视网膜病变 - 糖尿病视网膜病变远程医疗成像远程医疗成像视网膜摄像机的视网膜摄像机是指视网膜的摄像机.同步诊断的同步诊断

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