基于深度学习的低成本便携式自动折射系统:解决资源有限地区折射误差的有效校正率不足的问题
Huang Yan1, Zhen Yi1, Sun Qilin2
1National Engineering Research Centre for Ophthalmology, Beijing Institute of Ophthalmology, Beijing Tongren Eye Centre, Engineering Research Centre of the Ministry of Education for Ophthalmic Diagnosis and Treatment Equipment and Materials, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
概括
一个新的低成本,便携式自动折射系统 (TRDS) 使用深度学习和红外光折射进行准确的折射误差评估. 这项技术提供了一个可扩展的解决方案,以改善全球眼睛健康和折射误差校正率.
科学领域:
- 眼科医生 眼科 眼科
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 折射误差是全球视力障碍的主要原因之一.
- 在资源有限的环境中,获得准确和负担得起的眼科护理仍然是一个挑战.
- 自动折射系统有可能弥合这个差距.
研究的目的:
- 开发和验证一个低成本的便携式自动折射系统 (通格数字视觉,TRDS).
- 与主观折射相比,评估TRDS在测量折射误差方面的准确性.
- 评估该系统在改善弱势群体的折射误差校正方面的潜力.
主要方法:
- 进行了一项随机对照交叉试验,涉及282名参与者 (18-60岁).
- 该TRDS系统使用低成本的组件和深度学习模型,其训练基于大量的基底图像数据集.
- 使用相关系数和布兰德-阿尔特曼分析评估TRDS和主观折射之间的一致性,用于球体等效和气参数.
主要成果:
- 对于球体等效 (r=0.96,ICC=0.96) 和气参数 (J0:r=0.74,ICC=0.71;J45:r=0.76,ICC=0.75),TRDS与主观折射有很强的相关性.
- 平均差异在临床耐受性范围内,纠正的视力敏度与主观折射不劣.
- 性能在近视和远视之间是一致的,在高近视中适度一致.
结论:
- 通过深度学习驱动的TRDS系统是准确的,便携的,并且具有成本效益.
- TRDS提供了一个可扩展的解决方案,以改善全球的折射误差评估和纠正.
- 该系统与世界卫生组织提高全球眼睛健康的目标保持一致.
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