Advances in tear-related indicators and techniques for patients with dry eye disease
10.3980/j.issn.1672-5123.2024.9.18
- VernacularTitle:干眼患者泪液相关检测指标及技术的研究进展
- Author:
Jinmei QIAN
1
,
2
;
Yan CAI
1
,
2
Author Information
1. Shihezi University School of Medicine, Shihezi 832002, Xinjiang Uyghur Autonomous Region, China
2. Military Ophthalmology Center, General Hospital of Xinjiang Military Command, Urumqi 830000, Xinjiang Uyghur Autonomous Region, China
- Publication Type:Journal Article
- Keywords:
dry eye disease;
tears;
artificial intelligence
- From:
International Eye Science
2024;24(9):1448-1452
- CountryChina
- Language:Chinese
-
Abstract:
The examinations of tear quality and volume are important indicators for the diagnosis of dry eye disease. Tests commonly used in clinical practice to diagnose dry eye disease include testing of tear volume and tear film stability to assess the severity of the condition, and analyzing and labeling of tear components under laboratory conditions to diagnose clinical staging and also to guide clinical supplementation of relevant components to target treatment. Accurate assessment of tear production and compositional changes enables clinicians to effectively monitor the severity of dry eye disease and evaluate the effectiveness of therapeutic measures. With the development of optical imaging technology and artificial intelligence in recent years, the combination of clinical tear indicators and examination techniques has enabled the application of new testing methods that provide more convenient, rapid and accurate testing, greatly improving the diagnosis and treatment of dry eye disease in the clinic.
