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在光学领域,人工智能辅助诊断和治疗
Hua-Qing Du1, Qi Dai2, Zu-Hui Zhang2
1Zhejiang University, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou 310027, Zhejiang Province, China.
International journal of ophthalmology
|September 19, 2023
概括
人工智能 (AI) 正在推进光学,帮助诊断近视和视等疾病. 本综述探讨了当前的人工智能应用和眼科护理的未来潜力.
科学领域:
- 眼科和眼镜检查的眼科和眼镜检查
- 计算机科学和人工智能 人工智能
背景情况:
- 人工智能 (AI) 越来越多地应用于眼科.
- 与眼科密切相关的视光学正在看到人工智能研究的兴起.
- 这种增长需要对目前光学诊断中的AI进行审查.
研究的目的:
- 总结当前的人工智能 (AI) 在光学方面的研究和技术.
- 确定适用于光学研究的成熟AI模型.
- 探索未来临床光学实践的潜在AI算法.
主要方法:
- 人工智能在光学中的应用文献综述.
- 对用于诊断常见光学疾病的AI技术的分析.
- 识别相关的AI模型和算法近视,偏视,视和光学设备.
主要成果:
- 目前在光学领域的人工智能研究涵盖近视,眼,双视和光学辅助器.
- 几个成熟的人工智能模型显示出对光学研究的希望.
- 新兴的人工智能算法为增强的临床诊断和实践提供了潜力.
结论:
- 人工智能是一个快速发展的工具,在光学中具有显著的潜力.
- 进一步的研究可以将人工智能的进步转化为改善患者护理和诊断准确度.
- 识别合适的AI模型和算法对于未来的光学创新至关重要.
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