人工智能技术时代的视觉假肢
Ilias Sarbout1,2,3, Ayse Gungor1,2,3, Mehdi Ounissi1,2
1Department of Neuro-Ophthalmology, Rothschild Foundation Hospital, Paris, France.
Eye and brain
|September 5, 2025
概括
人工智能 (AI) 通过增强图像处理和刺激策略来改善视觉假肢. 然而,进一步的临床验证对于恢复视力的实际有效性至关重要.
科学领域:
- 生物医学工程
- 人工智能
- 眼科 眼科
背景情况:
- 技术进步已经使入侵视觉假肢成为可能,但功能性结果,特别是视觉敏性,仍然有限.
- 视网膜和皮质假肢 (RCP) 是旨在恢复视力的新兴技术.
- 人工智能 (AI) 是提高RCP性能的一个潜在途径.
研究的目的:
- 审查当前视网膜和皮质假肢 (RCP) 的发展情况.
- 批判性地评估人工智能在视觉假肢的发展中的作用.
- 系统地审查人工智能驱动的图像和信号处理,以改善临床结果.
主要方法:
- 使用PubMed和Elicit进行了系统的文献审查.
- 选了455项研究,其中包括28项用于分析.
- 专注于图像突出性提取和刺激感知一致性的AI应用.
主要成果:
- 在RCP中的AI应用主要集中在突出提取和刺激一致性上.
- 在28项研究中,有14项使用了人工神经网络,其中12项涉及模型训练.
- 虽然22项研究使用经验数据,但15项依赖于模拟的假肢视力.
结论:
- 人工智能算法通过改进的图像处理和刺激来优化假肢视力.
- 目前的研究很大程度上依赖于模拟,在现实环境中有效性有限.
- 用盲人患者进行临床验证是确认人工智能增强视觉假肢有效性的关键.
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