Research progress on new hot issues of intermittent exotropia

doi:10.3877/cma.j.issn.2095-2007.2023.03.007

Abstract

Abstract:

Intermittent exotropia (IXT) is a common clinical eye disease with large changes in strabismus angle and different degrees of stereopsis impairment. There are still many problems in its diagnosis and treatment. Correct understanding of the development and prognosis of the disease, selection of reasonable treatment methods, timely visual training, and improvement of diagnostic efficiency are all crucial to improving the quality of life and reducing recurrence for patients with IXT. The damage and reconstruction of stereoscopic function, the interaction with myopia, the integrated application of observation and follow-up treatment, and artificial intelligence diagnosis and treatment are new hot issues in the current IXT research. The research progress of these issuses were reviewed in this paper, aiming to provide the reference for diagnosis and treatment of IXT.

Key words: Intermittent exotropia, Stereopsis, Myopia, Observation and follow-up, Artificial intelligence

Meiqi Ren, Junhong Li, Zhangqing Feng. Research progress on new hot issues of intermittent exotropia[J]. Chinese Journal of Ophthalmologic Medicine(Electronic Edition), 2023, 13(03): 162-166.

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发表时间	研究作者	主要内容	灵敏度和特异度	准确度
2017.04.30	Gramatikov BI	基于双眼屈光系统的在视网膜折射成像形成的偏差模型用来人工智能模型的训练，由此检测斜视	100%
2018.04.26	Chen Z	基于眼睛跟踪数据的固定偏差的神经网络来判断斜视的存在		95.2%
2018.09.09	Lu J	基于面部照片眼部区域的视觉表现来检测斜视的神经网络		90.0%
2021.03.21	Mao K	基于角膜光反射照片的人工智能平台用于斜视诊断	95%
2021.06.01	许欣	基于决策树模型的机器学习算法并设计出一款可以使用的手机智能应用程序用于预测手术量		95%

发表时间	研究作者	主要内容	灵敏度和特异度	准确度
2017.04.30	Gramatikov BI	基于双眼屈光系统的在视网膜折射成像形成的偏差模型用来人工智能模型的训练，由此检测斜视	100%
2018.04.26	Chen Z	基于眼睛跟踪数据的固定偏差的神经网络来判断斜视的存在		95.2%
2018.09.09	Lu J	基于面部照片眼部区域的视觉表现来检测斜视的神经网络		90.0%
2021.03.21	Mao K	基于角膜光反射照片的人工智能平台用于斜视诊断	95%
2021.06.01	许欣	基于决策树模型的机器学习算法并设计出一款可以使用的手机智能应用程序用于预测手术量		95%

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