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计算机视觉综合征:一个全面的文献综述

Fares Kahal¹, Ahmad Al Darra¹, André Torbey¹

¹Faculty of Medicine, Syrian Private University, Damascus, Syria.

Future science OA

|March 8, 2025

概括

计算机视觉综合征 (CVS) 影响了近70%的人由于数字屏幕的使用,一个问题恶化了大流行. 本综述涵盖了CVS的原因,诊断和预防策略,以改善眼睛健康.

科学领域:

眼科医生眼科眼科
职业健康职业健康职业健康
数字健康数字健康
人体工程学就是人体工程学.

背景情况:

计算机视觉综合征 (CVS) 是一个普遍的健康问题,影响着多达69%的人口.
增加的数字屏幕时间,加剧了COVID-19大流行,已经放大了CVS的患病率,一些研究报告的症状高达74%的个人.
导致CVS的因素包括与屏幕相关的问题,环境条件,不良的人体工程学和生理方面,特别是影响视力不良的个体.

研究的目的:

综合探索计算机视觉综合征的原因,诊断,管理和预防策略.
综合近期的科学发现,包括光学,职业健康,数字健康和人体工程学.
在CVS管理的背景下,强调人工智能,可穿戴设备和增强现实等新兴技术.

主要方法:

2014年至2024年间发表的科学文献的叙事综述.
专注于PubMed索引,同行评审的文章,包括元分析和系统评论.
优先考虑最近和大量引用的研究的相关性和影响.

主要成果:

CVS是多因素的,源于数字屏幕的使用,环境因素和个人的生理条件.
数字屏幕带来了独特的视觉挑战,例如清晰度和光降低,加剧了干眼和不适等症状.
疫情显著增加了屏幕时间,导致CVS症状的记录增加.

结论:

了解CVS的多面性质对于制定有效的缓解策略至关重要.
积极的预防和管理方法对于解决CVS日益增长的影响至关重要.
整合来自各种学科和新兴技术的见解可以增强数字眼睛疲劳的未来管理.

关键词:

人工智能 (AI) 在眼睛健康方面计算机视觉综合征是什么数字健康数字健康患病率的流行情况.预防和管理预防和管理有关风险因素的风险因素.症状症状症状症状症状可穿戴技术可穿戴技术

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