View clinical trials related to Diabetic Retinopathy.
Filter by:Glaucoma, age-related macular degeneration (AMD), retinitis pigmentosa, RP, diabetic retinopathy (DR) are the most common blinding eye diseases in the world. Vision and visual field are often severely impaired, quality of life is reduced, and personal and family burdens are heavy. This kind of low vision people, can use visual AIDS and other instruments for visual rehabilitation training, maximize the function of residual vision, improve the quality of life. Beyes, HOLA, Acesight and OXSIGHT are among the latest eyeglasses devices that are expected to improve the quality of life for people with low vision. This research group intends to recruit advanced patients with primary glaucoma, AMD, RP, DR and other common blinding eye diseases who visited Zhongshan Ophthalmology Center of Sun Yat-sen University from June 2021 to December 2022 to study the changes of visual function and quality of life after wearing this new type of head-worn visual aids, and analyze relevant factors combined with clinical data. To evaluate the effect and influencing factors of the new head-mounted visual AIDS on patients, and provide theoretical basis for subsequent clinical research.
Dr. Lisa A. Hark (PI and Study Chair) and an interdisciplinary team have designed the New York City Eye Study (NYCES) to promote eye and vision health equity and address eye health disparities in adults age 21+ (PAR-23-009/NOT-EY-22-004).
Detection of any structural or vascular changes at the macula after Pars Plana Vitrectomy ( PPV ) in cases with complicated proliferative diabetic retinopathy ( PDR )
To investigate the prognosis of retinal structure and function after vitrectomy in patients with severe non-proliferative diabetic retinopathy, to explore the feasibility of vitrectomy in patients with severe non-proliferative diabetic retinopathy(NPDR), and to seek the best way to delay the progression of diabetic retinopathy from the perspective of therapeutic effect.
Multicenter, prospective, study to assess the performance of the Ophthal-360 platform in the diagnosis of more-than-mild Diabetic Retinopathy (mtmDR) in diabetic patients with no previous diagnosis of DR.
Diabetic retinopathy (DR) is a frequent cause of visual impairment, and the leading cause of blindness in those of working age, but it develops silently along years, producing symptoms only in late stages.
The choroidal thickness was found to be thinner in diabetic eyes without retinopathy compared to healthy eyes, thus choroidal thickness might be an important parameter for the development of diabetic retinopathy in diabetic eyes without retinopathy. Repeated low-level red-light (RLRL) therapy is an emerging innovative and non-invasive treatment for a variety of eye diseases. Notably, RLRL was found to be effective in thickening choroidal thickness in a 1-year randomized controlled trial, indicating its potential in modulating blood flow in the fundus. This study aims to answer whether RLRL therapy can thicken choroidal thickness in adults with diabetes mellitus or diabetic retinopathy.
The goal of this pragmatic trial is to test the benefit of using artificial intelligence-based eye screening i.e, a fundus camera device in the early detection of eye complications in diabetics. The main questions it aims to answer are: To what extent does the application of artificial intelligence-based eye care at primary care clinics work well in achieving early detection of eye complications such as macular oedema? To what extent does the application of artificial intelligence-based eye care at primary care clinics work well in achieving early detection of eye complications such as retinopathy? Participants will be asked to participate in the screening for eye complications at primary care centres, and a fundus camera will be used for screening. Researchers will compare the proportion of detected cases with early signs of eye complication among those using artificial intelligence-based eye screening i.e., fundus camera, to the proportion of detected cases among those using routine eye care clinics at the primary care centre. Early detection of eye complications in diabetics prevents the risk of blindness.
Efficiency and effectiveness of real-world diabetic retinopathy screening by artificial intelligent (AI) are limited. Investigators will implement AI for diabetic retinopathy screening in 13 health districts in Thailand and investigate the efficiency, effectiveness as well as patients and health care personnel's satisfaction by an implementation research.
This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.