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基于智能手机的人工智能系统用于检测糖尿病视网膜病变的诊断准确性:系统性审查和元分析
S Umar Hasan1, M A Rehman Siddiqui1
1Department of Ophthalmology and Visual Sciences, Aga Khan University Hospital, National Stadium Road, Karachi, Pakistan.
Diabetes research and clinical practice
|October 7, 2023
概括
基于智能手机的人工智能 (AI) 系统在检测糖尿病视网膜病变 (DR) 中表现出高准确性,这是导致失明的主要原因. 这些人工智能工具为糖尿病患者的早期DR查提供了一个有希望的,具有成本效益的替代方案.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 公共卫生 公共卫生
背景情况:
- 糖尿病视网膜病变 (DR) 是导致全球失明的重要原因,需要早期检测.
- 传统的DR查方法依赖于人类专家是资源密集型和耗时的.
- 基于智能手机的AI为可访问和高效的DR查提供了潜在的解决方案.
结论:
- 基于智能手机的AI算法对DR检测具有很高的诊断准确性.
- 需要进一步进行高质量的比较研究,以验证它们在现实世界的临床有效性.
- 人工智能驱动的智能手机查有望改善全球DR管理并预防视力丧失.
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