远程医疗的眼部细分方法:适用于肌痛严重症的体检
Quentin Lesport1, Guillaume Joerger2, Henry J Kaminski3
1Department of Surgery, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
这项研究引入了一种新的远程医疗平台,用于诊断肌痛严重症患者的眼睛疾病. 该系统使用人工智能定量评估眼垂落和双视,改善远程患者评估.
科学领域:
- 眼科医生 眼科 眼科
- 神经学 神经学
- 人工智能的人工智能
背景情况:
- 在COVID-19大流行期间,远程医疗的使用急剧增加,用于患者护理和临床试验.
- 目前的远程咨询由于依赖2D视图而提供有限的诊断能力.
- 远程评估神经系统疾病的眼部表现会带来重大挑战.
研究的目的:
- 开发一个专利的远程医疗平台,用于诊断肌痛严重症的眼部表现.
- 创建一个混合算法,结合深度学习和计算机视觉,用于定量评估ptosis和眼肌疲劳.
- 为远程医疗条件提供强大的方法,在受控环境中优先考虑可靠性而不是精度.
主要方法:
- 开发了一个融合深度学习和计算机视觉的混合算法.
- 该系统分析静态图像和实时视频以捕捉动态肌肉弱势.
- 用信号处理和过来推导出ptosis和眼部错位的定量指标.
主要成果:
- 该平台提供了对于ptosis和眼肌疲劳的定量指标.
- 该方法在实时检查期间捕获动态肌肉弱势.
- 开发的算法对于标准的远程医疗环境来说是强大的.
结论:
- 开发的远程医疗平台为诊断眼部骨髓灰质炎提供了一种新的方法.
- 混合人工智能算法为ptosis和眼睛 misalignment提供了强大的定量指标.
- 这种可概括的方法可以应用于各种疾病,影响眼动力并导致死.
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