Hyperopia

This study evaluates corneal epithelial thickness using anterior segment optical coherence tomography (AS-OCT) in patients with refractive errors. It aims to assess the relationship between epithelial thickness patterns and different types of refractive errors.

This is a multicenter, parallel-group, open-label, randomized controlled, superiority interventional clinical study initiated by investigators from Shanghai General Hospital (Study Protocol No.: IT-CRU-FAMB-001, Version V1.1, dated December 29, 2025), with Wang Xiaojuan as the principal investigator and the Department of Ophthalmology as the responsible department, collaborating with The First Affiliated Hospital of Zhengzhou University and Yantai Yuhuangding Hospital as participating centers. Launched on October 1, 2025, and scheduled to complete on April 1, 2027, the study aims to evaluate the efficacy of the Dynamic Spatiotemporal Optical Film (S.T.O.P®KIT) in retarding axial length growth in children with low hyperopia (primary endpoint) and compare the change in spherical equivalent power measured by autorefractometer under cycloplegia between the experimental and control groups (secondary endpoint). A total of 180 eligible children aged 6-10 years with low hyperopia will be randomly divided into the experimental group (90 cases) and the control group (90 cases) at a 1:1 ratio using simple randomization. The experimental group will receive two pairs of customized plano-spherical and plano-cylindrical glasses with S.T.O.P optical films of different phases (replaced at 6 months) and undergo follow-up every 3 months for 12 months, while the control group will only receive regular ophthalmic re-examinations without active intervention (with free dynamic optical films and customized glasses provided upon completion of all follow-ups). The study will adopt Analysis of Covariance (ANCOVA) for statistical analysis, with strict data management and quality control measures in place to ensure data authenticity and reliability, and will comply with the Declaration of Helsinki, Chinese GCP, and relevant ethical requirements to protect the safety, rights, and interests of study participants.

The goal of this observational methodological study is to validate the Turkish version of the DDIVAT visual acuity measuring device in a Turkish-speaking adult population. The main questions it aims to answer are: Does the Turkish version of the DDIVAT provide reliable and valid visual acuity measurements in Turkish speakers? Are the results of the DDIVAT comparable to those obtained with the standard Snellen chart used in clinical practice? Researchers will compare DDIVAT visual acuity test results with Snellen chart results to see if both methods produce consistent measurements. Participants will: Be adults aged 18 years or older, including both patients and healthy volunteers. Undergo visual acuity testing using the DDIVAT system displayed on a smart TV connected to the university server. Have their visual acuity re-measured using the standard Snellen optotype under the same conditions. No medication or invasive procedure will be used. The study carries no risk to participants.

This study aims to assess the efficacy of light-blocking lenses in facilitating emmetropization in children with hyperopia and to explore their influence on various aspects of visual function.

To evaluate the effectiveness of light-blocking lenses in promoting emmetropization and reducing anisometropia in children with hyperopic anisometropia, and to assess the impact of light-intercepting lenses on visual function in this population.

Eye disease affects 2.2 billion people globally, which in turn adversely affects schooling, economic productivity, and participation in social life. The primary conditions contributing to visual impairment and blindness include cataracts, age-related macular degeneration (AMD), glaucoma, diabetic retinopathy (DR), refractive error, and presbyopia. Early detection of eye disease can provide substantial benefits in prompting treatment to reduce progression and mitigate disability. Compared with other regions, South Asia has the most cases of visual impairment due to cataracts and uncorrected refractive error. The combination of poverty, poor living and working environments, and limited health care access have long endangered eye health in Bangladesh. Coastal Bangladesh is particularly impacted by eye disease due to economic deprivation and limited healthcare access. The coastal population mostly works in fishing and agriculture, have prolonged sunlight exposure, and inadequate occupational eye protection. This low-lying region, with 35 million people, is especially vulnerable to climate disasters and global warming. High rates of chronic disease, especially diabetes mellitus Type 2 and hypertension, coupled with limited screening and treatment, shape the area's health profile, with the increasing prevalence of eye diseases such as DR, glaucoma, and visual impairment. To address the issues of poor health, accessibility, and affordability of eye care, Artificial Intelligence (AI) applications, such as Artificial Intelligence (AI)-assisted fundus imaging, can be applied in eye screening. Medical AI applications have the potential to improve the quality and efficiency of healthcare, reduce healthcare costs, optimize treatment plans, and bolster the development of primary healthcare. They can identify presumptive DR, hypertensive retinopathy (HR), AMD, and glaucoma by analyzing the retina and optic disc of fundus images with moderate accuracy and high efficiency, thus helping address the lack of local eye care professionals. Data Yakka developed a human-AI collaboration that delivers affordable and transformative community-based eye screening to underserved communities in the coastal Bangladesh region of Char Fasson. The "Amar Chokh Amar Alo" (My Eyes, My Light) initiative creates and implements comprehensive eye screening that combines AI-assisted eye screening and grassroots partnerships with trusted non-health non-governmental organizations (NGOs). It has three objectives: 1) Enhancing accessibility and affordability of eye screening; 2) Supporting high quality and efficient treatment of those problems detected via screening, 3) Collecting fundus images to refine or train AI algorithms in the future. This project was designed to evaluate the feasibility, performance, equity, and cost of this model of eye screening and its implications for global eye disease. The implementation of participant recruitment, data collection, screening, and follow-up was separated into twelve steps. This standardized framework ensured the integration of screening with data collection and follow-up eye care services. Based on risk stratification by diabetes, hypertension, age 50+ years, and/or optometrist recommendation, fundus imaging was offered selectively to higher-risk patients.

The VIS Opti-K Low Vision Aid device will be used to provide vision improvement to patients with refractive disorders (hyperopia and presbyopia).