A5086582260- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Retinal and Optic Conditions
- Chronic Kidney Disease and Diabetes
- Glaucoma and retinal disorders
- Artificial Intelligence in Healthcare
- Blood Pressure and Hypertension Studies
- Acute Ischemic Stroke Management
- Retinal and Macular Surgery
- Retinal Development and Disorders
- Drug-Induced Ocular Toxicity
- Cerebral Venous Sinus Thrombosis
- Renal and Vascular Pathologies
- Intraocular Surgery and Lenses
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Systemic Sclerosis and Related Diseases
- Occupational Health and Safety in Workplaces
- Contact Dermatitis and Allergies
- Systemic Lupus Erythematosus Research
- Developmental and Educational Neuropsychology
- Pelvic floor disorders treatments
- Total Knee Arthroplasty Outcomes
- Nasolacrimal Duct Obstruction Treatments
- Cardiovascular Health and Disease Prevention
- Head and Neck Surgical Oncology
Institut d'Investigació Sanitària Pere Virgili
2011-2024
Universitat Rovira i Virgili
2006-2024
Hospital Universitari Sant Joan de Reus
2006-2023
Hospital Sant Joan de Déu Barcelona
2021
Hospital Universitari de Vic
2019
Artistic Realization Technologies
2007
Aims. To determine the relationship between diabetic nephropathy and retinopathy on a population of type 2 diabetes mellitus patients. Methods. A prospective ten-year follow-up population-based study. We determined differences estimated glomerular filtration rate (eGFR) using chronic kidney disease epidemiology collaboration equation urine albumin to creatinine ratio. Results. Annual incidence any-DR was 8.21 ± 0.60% (7.06%–8.92%), sight-threatening (STDR) 2.65 0.14% (2.48%–2.88%), macular...
Background: The aim of the present study was to test our deep learning algorithm (DLA) by reading retinographies. Methods: We tested DLA built on convolutional neural networks in 14,186 retinographies from population and 1200 images extracted MESSIDOR. retinal were graded both independently four retina specialists. Results compared according accuracy (ACC), sensitivity (S), specificity (SP), positive predictive value (PPV), negative (NPV), area under receiver operating characteristic curve...
Background:The aim of this study was to build a clinical decision support system (CDSS) in diabetic retinopathy (DR), based on type 2 diabetes mellitus (DM) patients. Method:We built CDSS from sample 2,323 patients, divided into training set 1,212 and testing 1,111 The is fuzzy random forest, which trees. A tree hierarchical data structure that classifies patient several classes some level, depending the values presents attributes related DR risk factors. Each node an attribute, each branch...
Purpose: To compare the results obtained by two screening techniques for diabetic retinopathy. Methods: Patients were assessed in groups, according to whether retinal images analyzed general practitioner (Group 1) or ophthalmologist 2) a two-year prospective study using telemedicine. Results: The number of patients referred nonmydriatic fundus camera unit was higher Group 1 than 2 (63.80% versus 17.63%). Greater patient adherence observed when came retinography (98.25% 87.52%). There no...
The aim of the study was to compare results with those a previous by same author in 1993 when 741 type II diabetic patients were recruited. We determined prevalence retinopathy and impact new diagnostic criteria stricter control diabetes on obtained.The sample obtained hazard selection patients, from total visited interval between January 1 December 2005.We observed decrease two studies. In first incidence 39.41% while present it 27.55%. macular edema similar both studies (7.15% past 7.90%...
(1) Background Diabetic Retinopathy (DR) is the primary cause of poor vision in young adults. Screening for DR important but many patients do not attend; (2) Methods: We validated an algorithm predicting and its progression by conducting a retrospective study 11 children population 120,389 T2DM (3) Results: By applying to showed AUC 0.93 (95% CI, 0.92–0.94) any-DR 0.90 0.89–0.91) referable-DR(4) Conclusions: The useful who could develop referable forms also any-DR. This would allow...
(1) Background: Although DR screening is effective, one of its most significant problems a lack attendance. The aim the present study was to demonstrate effectiveness our algorithm in predicting development any type and referable DR. (2) Methods: A retrospective with an 11-year follow-up population 120,389 T2DM patients undertaken. (3) Results: Applying results showed AUC 0.93 (95% CI, 0.92–0.94) for 0.90 0.89–0.91) Therefore, we achieved promising level agreement when applying algorithm....
This study aimed to test an artificial intelligence-based reading system (AIRS) capable of retinographies type 2 diabetic (T2DM) patients and a predictive algorithm (DRPA) that predicts the risk each patient with T2DM developing retinopathy (DR).
Telemedicine in diabetic retinopathy (RD) screening is effective but does not reach the entire diabetes population. The use of portable cameras and artificial intelligence (AI) can help diabetes.
Background:To validate our deep learning algorithm (DLA) to read diabetic retinopathy (DR) retinographies. Introduction:Currently DR detection is made by retinography; due its increasing diabetes mellitus incidence we need find systems that help us screen DR. Materials and Methods:The DLA was built trained using 88,702 images from EyePACS, 1,748 Messidor-2, 19,230 own population. For validation a total of 38,339 retinographies 17,669 patients (obtained screening databases) were compared four...
To validate a clinical decision support system (CDSS) that estimates risk of diabetic retinopathy (DR) and to personalize screening protocols in type 2 diabetes mellitus (T2DM) patients.We utilized CDSS based on fuzzy random forest, integrated by trees with the following variables: current age, sex, arterial hypertension, duration treatment, HbA1c, glomerular filtration rate, microalbuminuria, body mass index. Validation was made using electronic health records sample 101,802 T2DM patients....
(1) Background: Diabetic retinopathy (DR) remains the leading cause of low vision and blindness in young adults working age. Although most important risk factors-such as duration diabetes mellitus (DM) glycemic control measured by HbA1c-are known, effects lipids are not clear. The aim present study is to analyze on development DR. (2) Methods: This a retrospective population 175,645 DM2 patients, during period 2010 2020, which different lipid factors studied. (3) Results: variables that...
In the present study we determine differences observed between 25-gauge-vitrectomy combined with phacoemulsification, and 20-gauge-vitrectomy pars plana phacofragmentation.A prospective of a sample 987 eyes 661 patients randomly divided into two groups. plus phacoemulsification included 486 eyes, phacofragmentation 501 eyes. We evaluated at time surgery, intra-and postoperative complications, variations in intraocular pressure.The final visual outcome was similar both The most important...
(Background) The aim of this study was to determine the factors related recurrent vitreous hemorrhage (RVH) in a sample proliferative diabetic retinopathy (PDR) patients. (Methods) This retrospective, review-based study. We studied 183 eyes from 121 type 2 diabetes patients with PDR. recorded duration diabetes, history hypertension, retinal photocoagulation status, posterior mean HbA1c and hemoglobin levels, renal function, systemic complications associated diabetes. also surgical...