Diabetes mellitus (DM) has been emerging as one of the most serious health problems worldwide. Ocular complications of DM are currently one of the major causes of blindness in developed countries, among which diabetic retinopathy is relatively well studied and understood. However, although ocular surface complications of DM are common, diabetic complications of anterior segment of the eye, such as, cornea, conjunctiva, and lacrimal glands, are often overlooked. DM is associated with progressive damage to corneal nerves and epithelial cells, which increases the risk of anterior segment disorders including dry eye disease, corneal erosion, persistent epithelial defects, and even sight-threatening corneal ulcer. In this review, the authors will discuss the association of DM with disorders of anterior segment of the eye. Studies indicating the value of corneal nerve assessment as a sensitive, noninvasive, and repeatable biomarker for diabetic neuropathy will also be introduced. In addition, treatment modalities of anterior segment disorders associated with DM is discussed. The studies introduced in this review suggest that early and periodic screening of the anterior segment of the eye, as well as the retina, is important for the optimal treatment of DM.

Dry eye disease (DED) is a common disease that can impair quality of life significantly. Its prevalence increases with advancing age, and the economic burden of the disease on both a patient and the society is increasing with elongation of life expectancy. The diagnosis and treatment of DED are often difficult due to the discordance between symptoms and signs of the disease. Recent studies have suggested the role of neurological or psychological factors in the development of dry eye symptoms and discrepancy of the symptoms and signs, particularly in elderly patients. In this review, the authors discuss the association of DED with various psychiatric and neurological disorders. In addition to psychiatric conditions, including depression, anxiety, stress, posttraumatic stress disorder and sleep disorders, medications for the psychiatric disorders have association with DED. Neurological disorders, such as neuropathic pain, chronic pain syndrome, peripheral neuropathy and several central nervous system disorders, are related to DED. Treatment of DED, combined with psychiatric or neurological disorders, is also discussed. Attention should be paid to the DED patients with discordant symptoms and signs, and unsatisfactory response to conventional treatment for associated psychiatric or neurological disorders, as well as an integrated treatment approach, could be helpful for these patients.

This study was performed to evaluate the prevalence and risk factors of dry eye disease (DED) among paramedical workers at a university hospital in Korea. This cross-sectional study included 566 paramedical workers at a university hospital in Korea. Dry eye symptoms were assessed using a 9-item questionnaire, and DED was defined as having 1 or more dry eye symptoms often or all the time. A survey including demographic data and potential risk factors of DED was also performed. Psychological stress was measured using stress VAS and perceived stress scale 4 (PSS-4) questionnaires. Of the 566 paramedical workers, 232 (35 male and 197 female) completed the survey. Prevalence of DED was 42.7% (99/232). Univariate analysis revealed that female sex (P < 0.001), prolonged computer use (P = 0.003) and higher stress VAS (P < 0.001) and PSS-4 (P = 0.009) scores had significant association with DED. In multivariate analysis, DED had significant association with female sex (P = 0.003) and stress VAS (P = 0.013) after adjustment for sex, duration of computer use and stress VAS, and had significant association with female sex (P = 0.003) and durations of computer use (P = 0.029) after adjustment for sex, duration of computer use and PSS-4 score. In conclusion, DED was prevalent among paramedical workers in Korea. Its risk increased among females and workers with increased psychological stress. Prolonged use of computer was possibly associated with DED.

Traditional diagnostic tests for dry eye disease (DED), such as fluorescein tear film break-up time and the Schirmer test, are often associated with poor reproducibility and reliability, which make the diagnosis, follow-up, and management of the disease challenging. Advances in ocular imaging technology enables objective and reproducible measurement of changes in the ocular surface, tear film, and optical quality associated with DED. In this review, the authors will discuss the application of various imaging techniques, such as, noninvasive tear break-up time, anterior segment optical coherence tomography, in vivo confocal microscopy, meibography, interferometry, aberrometry, thermometry, and tear film imager in DED. Many studies have shown these devices to correlate with clinical symptoms and signs of DED, suggesting the potential of these imaging modalities as alternative tests for diagnosis and monitoring of the condition.

Femtosecond laser (FSL) is a near-infrared laser that can create reliable and reproducible tissue cutting with minimal damage to adjacent tissue. As the laser can also create incisions with various orientations, depths, and shapes, it is expected to be a useful tool for anterior segment surgery, such as cornea, refractive, and cataract surgery. In this review, the authors will introduce the application of FSL in various anterior segment surgeries and discuss the results of studies regarding the efficacy and safety of FSL in cornea, refractive, and cataract surgery. Experimental studies regarding the potential use of FSL will also be introduced. The studies discussed in this review suggest that FSL may be a useful tool for improving the prognosis and safety of surgeries of the anterior segment.

Dry eye disease (DED) is one of the most common diseases worldwide that can lead to a significant impairment of quality of life. The diagnosis and treatment of the disease are often challenging because of the lack of correlation between the signs and symptoms, limited reliability of diagnostic tests, and absence of established consensus on the diagnostic criteria. The advancement of machine learning, particularly deep learning technology, has enabled the application of artificial intelligence (AI) in various anterior segment disorders, including DED. Currently, many studies have reported promising results of AI-based algorithms for the accurate diagnosis of DED and precise and reliable assessment of data obtained by imaging devices for DED. Thus, the integration of AI into clinical approaches for DED can enhance diagnostic and therapeutic performance. In this review, in addition to a brief summary of the application of AI in anterior segment diseases, we will provide an overview of studies regarding the application of AI in DED and discuss the recent advances in the integration of AI into the clinical approach for DED.