人工智能在1型糖尿病中糖尿病视网膜病变查中的作用:系统性审查
Francesco Sacchini1, Stefano Mancin2, Giovanni Cangelosi3
1Polytechnic University of Ancona, 60121 Ancona, Italy.
Journal of diabetes and its complications
|August 5, 2025
概括
人工智能 (AI) 显著改善了1型糖尿病 (T1D) 患者的糖尿病视网膜病变 (DR) 查,提高了早期诊断和管理. 进一步的研究将优化人工智能整合的公共卫生效益.
科学领域:
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 糖尿病视网膜病变 (DR) 是全球成年人失明的主要原因.
- DR是1型 (T1D) 和2型糖尿病 (T2D) 的关键并发症.
- 人工智能 (AI) 提供了改善DR查准确性和护理管理的机会.
研究的目的:
- 系统地审查有关AI在糖尿病视网膜病变查和管理中的作用的文献.
- 评估AI在增强DR护理途径方面的有效性.
主要方法:
- 按照PRISMA指南进行系统的文献审查.
- 在PubMed-Medline,Scopus和Embase数据库中进行的搜索.
- 在开放科学框架 (OSF) 上注册的协议;两位研究人员独立选择了文章.
主要成果:
- 从2127个已识别的文章中,包括了8项研究.
- 人工智能在T1D患者的DR查中表现出高效,提供快速可靠的分析.
- 医疗保健提供者报告了AI对患者管理的贡献的积极反.
结论:
- 人工智能融入DR护理途径显示出早期诊断和改善疾病管理的巨大潜力,特别是T1D.
- 需要进行进一步的研究,以优化人工智能实施,以实现可持续的公共卫生影响.
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