人工智能在糖尿病视网膜病变中的应用:我们现在所拥有的和未来所期望的
Mingui Kong1, Su Jeong Song1,2
1Department of Ophthalmology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Endocrinology and metabolism (Seoul, Korea)
|June 10, 2024
概括
人工智能 (AI) 提供了准确的糖尿病视网膜病变 (DR) 诊断,通过远程医疗改善了可访问性. 这篇评论探讨了人工智能.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 数字健康数字健康
背景情况:
- 糖尿病视网膜病变 (DR) 是全球视力丧失的主要原因,需要及时诊断.
- 有效的DR管理需要增加获得专业医疗护理的机会.
- 糖尿病并发症强调需要先进的诊断工具.
研究的目的:
- 审查人工智能 (AI) 在诊断糖尿病视网膜病变中的当前应用.
- 探索AI在提高DR检测的医疗可访问性方面的潜力.
- 检查DR诊断和预后中AI的未来方向.
主要方法:
- 对人工智能在糖尿病视网膜病变诊断中的应用进行文献综述.
- 与眼科医生相比,对AI性能指标的分析.
- 评估人工智能在远程医疗中对DR查的作用.
主要成果:
- 人工智能在DR诊断中实现了高精度,与专家眼科医生相美.
- 人工智能驱动的诊断工具显示出改善医疗保健可访问性的巨大潜力.
- 与人工智能集成的远程医疗可以促进广泛的DR查.
结论:
- 人工智能是准确和可访问的糖尿病视网膜病变诊断的一个有希望的工具.
- 人工智能集成,特别是通过远程医疗,可以减轻眼睛护理的障碍.
- 进一步的研究和开发对于优化DR管理中的AI至关重要.
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