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使用云人工智能计算对的定量评估:验证研究

Junxian He1,2, Jiawei Zhang3, Zheng Wang4

  • 1Schepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Boston, MA, United States.

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概括
此摘要是机器生成的。

一个新的基于云的AI系统,Eyeturn Cloud,使用智能手机图像准确地测量了视角. 这项技术为视力查和评估提供了一种方便且易于使用的方法,可能有助于远程医疗应用.

关键词:
人工智能模型是AI模型.人工智能的人工智能是人工智能.云计算是云计算中的一个.智能手机的智能手机智能手机的智能手机.这是一种眼 (strabismus).网络应用程序 网络应用程序 网络应用程序

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科学领域:

  • 眼科医生 眼科 眼科
  • 人工智能的人工智能
  • 医疗成像医学成像

背景情况:

  • 视力测量对于视力评估和查至关重要.
  • 传统方法通常需要熟练的临床医生或专门的设备.
  • 摄影方法提供了更好的可访问性和方便性.

研究的目的:

  • 为了评估Eyeturn Cloud,一个用于测量视角度的AI系统.
  • 该系统在覆盖测试条件下使用智能手机捕获的眼睛图像.

主要方法:

  • Eyeturn Cloud使用人工智能识别眼睛的特征并对虹膜进行细分.
  • 使用虹膜边界适配和角膜反射来计算直视.
  • 该系统与临床镜替代覆盖测试测量结果进行了验证.

主要成果:

  • 在Eyeturn云和临床偏测量之间观察到强烈的相关性 (R2=0.95).
  • 布兰德-阿尔特曼分析显示了95%的协议界限,从-20.2到14.6镜二光透 (PD).
  • 可重复性测试给出了1.53 PD的标准偏差.

结论:

  • 基于云的AI网络应用程序可靠地计算了视角.
  • 它在远程医疗中的潜在实用性需要进一步研究.