View clinical trials related to Glaucoma.
Filter by:The researchers have used the ophthalmology textbook, clinical guideline consensus, the Internet conversation data and knowledge base of Zhongshan Ophthalmology Center in the early stage, combined with artificial feedback reinforcement learning and other techniques to fine-tune and train the LLM, and developed "Digital Twin Patient", a localized large language model that has the ability to answer ophthalmology-related medical questions, and also constructed a combination of automated model evaluation and manual evaluation by medical experts. The evaluation system combining automated model evaluation and manual evaluation by medical experts was constructed at the same time. This project intends to integrate "Digital Twin Patient" into undergraduate ophthalmology apprenticeship, simulate the consultation process of real patients through the online interaction between students and "Digital Twin Patient", explore the effect of "Digital Twin Patient" consultation teaching, provide emerging technology tools for guiding medical students to actively learn a variety of ophthalmology cases, cultivate clinical thinking, and provide the possibility of creating a new mode of intelligent teaching.
The aim of the study is to evaluate the agreement between three different grids in detecting central visual field defect in early glaucoma patients with reduced ganglion cell layer thickness.
The aim of this study is to create a large-scale register of all glaucoma patients diagnosed, followed and treated in a large tertiary centre specialising in glaucoma, in order to analyse whether specific factors influence the progression of the disease or guide our choice of treatment. This should lead to a better understanding of the disease and the factors to be taken into account when choosing the best treatment option for each patient, leading to safer, more effective and patient-centred care.
In conclusion, the study shows that the hospital-based group had a significantly higher screening uptake than the community-based group, reflecting that information from ophthalmologists and registered ophthalmic nurses is more effective and well-received than that from village health volunteers. The study suggests that increasing education and support for village health volunteers could enhance screening uptake. Factors influencing uptake include the age of FDRs, place of residence, education, presenting VA of probands, and treatment of probands. Utilizing this study's findings, spreading knowledge and training health officials at the district and sub-district levels could increase understanding of glaucoma and improve communication with the general public and at-risk groups, potentially increasing the response rate. Additionally, implementing a national free screening glaucoma program for at-risk populations, both in and outside hospitals, and organizing mobile screening units at the district level could be an effective prevention strategy against permanent vision loss from glaucoma.
The purpose of this research study is to assess the ability of AMDX- 2011P to identify amyloid deposits in the retina of participants with Primary Open Angle Glaucoma (POAG).
Is to investigate retinal microvascular changes in primary open angle glaucoma patients using Optical Coherence Tomography Angiography.
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early. Therefore, it is of great importance to have regular eye examinations and to detect possible eye diseases before they progress. Healthy people should also undergo eye screening once a year, and those with any complaints regarding eye health should be examined. With the advancing technology, Artificial Intelligence (AI) has begun to play a significant role in the healthcare sector. Retinal diseases, serious health problems resulting from damage to the back part of the eye's retina, include conditions such as retinopathy, macular degeneration, and glaucoma. Artificial intelligence, with its visual recognition and analysis capabilities, holds great potential in the early diagnosis of retinal diseases. AI-based diagnosis of retinal diseases typically involves the use of specialized algorithms that analyze retinal images. These algorithms identify abnormal features in the eye, providing doctors with a quick and accurate diagnosis. EyeCheckup v2.0 will diagnose glaucoma suspicion, severe glaucoma suspicion, age-related macular degeneration diagnosis, RVO diagnosis, diabetic retinopathy diagnosis and stage, presence/absence of DME suspicion and other retinal diseases from fundus images. This study is designed to assess the safety and efficacy of EyeCheckup v2.0. The study is a single center study to determine the sensitivity and specificity of EyeCheckup to retinal and optic disc diseases. EyeCheckup v2.0 is an automated software device that is designed to analyze ocular fundus digital color photographs taken in frontline primary care settings in order to quickly screen.
The main objective is to evaluate the effectiveness of MIMS in patients with an indication for glaucoma surgery, compared to traditional surgery. The secondary objective is to assess safety. The investigating ophthalmologist will follow the patients and collect clinical data in order to identify the benefits and complications of MIMS. Patients are expected to experience fewer complications compared to traditional glaucoma surgery.
The goal of this multicenter non-inferiority randomized controlled trial is to compare the efficacy of phacoemulsification with intraocular lens implantation (PEI) combined with goniotomy (GT) and PEI combined with medical therapy (MED) in the treatment of medically-controlled primary open-angle glaucoma (POAG) with cataract. The main questions it aims to answer are: - Whether the PEI+GT was non-inferior to PEI+MED with regard to the intraocular pressure lowering effect in medically-controlled POAG. - Whether the PEI+GT has value of health economics. Participants will be randomized to receive either PEI+GT or PEI+MED, and followed up with a 1-year period as a primary outcome.
The goal of this clinical trial is to observe the role of PRF in treating ophthalmic diseases.The efficacy and safety of PRF were validated for four ophthalmic conditions: macular hole, pterygium, corneal ulcer, and patients undergoing trabeculectomy for glaucoma. The main question aims to answer is PRF's effectiveness in ocular surface and fundus diseases. Participants will be divided into 2 groups, the experimental group will be treated with PRF and the control group will be treated with conventional surgery, with a 12-month postoperative follow-up to determine the role of PRF on wound healing in ophthalmic diseases.