延迟糖尿病视网膜病变的负担 管理和使用人工智能驱动的查工具:系统文献综述
Firas Rahhal1, Jun Zhang2, Munia Mukherjee3
1Retina Vitreous Associates Medical Group, University of Southern California, Los Angeles, CA, USA.
Ophthalmology and therapy
|February 7, 2026
概括
延迟的糖尿病视网膜病变 (DR) 诊断和治疗会造成重大伤害. 基于人工智能的查工具通过加强DR管理,为改善患者的治疗结果和医疗保健经济提供了潜力.
科学领域:
- 眼科医生 眼科 眼科
- 卫生经济学 卫生经济学
- 医疗保健中的人工智能
背景情况:
- 糖尿病视网膜病变 (DR) 具有显著的视力损失风险.
- 系统和财务障碍阻碍了及时获得DR护理的机会.
- 人工智能 (AI) 算法显示了准确,高通量DR选的前景.
研究的目的:
- 审查延迟DR管理的经济,人文和临床负担.
- 评估基于AI的查工具对DR诊断和治疗的影响.
主要方法:
- 系统的文献审查遵循PRISMA指南.
- 在MEDLINE,Embase和Cochrane图书馆数据库中进行了搜索 (2014年1月至2024年10月).
- 独立审查员选,提取,质量评估和补充视觉结果评估.
主要成果:
- 不频繁的DR查最初节省了成本,但减少了质量调整后的寿命年数,增加了长期治疗成本.
- 延迟DR治疗会对视力敏度产生负面影响,并增加视力丧失所花费的时间.
- 基于人工智能的查通常比传统方法更具成本效益,并显示出减少失明和视力丧失的潜力.
结论:
- 延迟DR诊断和治疗会对患者造成重大伤害.
- 基于AI的查工具可以显著改善DR患者的临床结果.
- 人工智能查通过优化DR管理为医疗保健系统提供经济优势.
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