结合虚拟现实和人工智能的系统用于儿童眼的准确性
Yu-Meng Wang1, Jiawen Liu2, Wei-Wei Chen1
1Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Capital Medical University, Beijing, China.
Digital health
|August 29, 2025
概括
一个新的虚拟现实 (VR) 和人工智能 (AI) 系统有效地对儿童视进行高灵敏度和特异性查. 虽然准确的异向性,但需要进一步开发异向性和垂直的测量.
科学领域:
- 眼科 眼科
- 医疗技术
- 人工智能
背景情况:
- 儿童视查对于早期干预至关重要.
- 传统的查方法可能耗时且主观.
- 正在探索新的技术方法以提高诊断准确性和效率.
研究的目的:
- 评估联合虚拟现实 (VR) 和人工智能 (AI) 系统用于儿童眼的准确性.
- 将系统的性能与专家眼科医生建立的黄金标准进行比较.
主要方法:
- 分析了110名患有眼和没有眼的儿科患者 (3至18岁).
- 虚拟现实/人工智能系统的诊断与使用卡帕测试和布兰德-阿尔特曼图表的专家评估进行了比较.
- 统计分析包括卡帕一致性,类间相关效率 (ICC) 和线性回归.
主要成果:
- 在视障查中,VR/ AI 系统表现出 83. 0% 的灵敏度和 79% 的特异性.
- 在对眼类型的分类方面发现了很高的一致性 (卡帕值在0.562到1.0之间).
- 精确的眼睛偏差角度测量被记录在内向性,但对外向性和垂直偏的测量较少.
结论:
- 由于其高灵敏度和特异性,VR/AI系统显示为小儿视查的临床潜力.
- 该系统能够准确地诊断和分类眼,
- 该系统需要进一步精细化,以准确测量外向和垂直的眼偏差角度.
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