This study explores the potential of Artificial Intelligence (AI) in early screening and
prognosis of Dry Eye Disease (DED), aiming to enhance the accuracy of therapeutic …

A key element of contact lens practice involves clinical evaluation of anterior eye health,
including the cornea and limbus, conjunctiva and sclera, eyelids and eyelashes, lacrimal …

Evidence-based contact lens practice involves finding, appraising and applying research
findings as the basis for patient management decisions. These decisions should be …

Dry eye-related ocular surface examination is very important in the diagnosis and treatment
of dry eye disease. With the recent advances in science and technology, dry eye …

Purpose To assess the repeatability and reliability of different commercially available
diagnostic platforms in the objective assessment of tear film parameters and if there exists …

We describe the role of OSA as a new instrument in the study of dry eye, and we recommend
a protocol for conducting the tests as well as describe the advantages and disadvantages …

Purpose Dry eye disease (DED) is an important public health concern given its increasing
prevalence and impact on patient quality of life. Blinking frequency and completeness are …

A biomarker is a “characteristic that is measured as an indicator of normal biological
processes, pathogenic processes, or responses to an exposure or intervention, including …

Purpose: To develop a deep learning approach to digitally segmenting meibomian gland
atrophy area and computing percent atrophy in meibography images. Methods: A total of …

Purpose Cross-sectional studies on dry eye disease (DED) have relied on different
diagnoses hindering conclusions about the disease epidemiology. This study offers an …