A5036861418- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Chronic Kidney Disease and Diabetes
- Acute Ischemic Stroke Management
- Blood Pressure and Hypertension Studies
- Artificial Intelligence in Healthcare
- Diabetes Management and Research
- Artificial Intelligence in Healthcare and Education
- Diabetes and associated disorders
- Diabetes Treatment and Management
- Retinopathy of Prematurity Studies
- Global Public Health Policies and Epidemiology
- Immune cells in cancer
- Retinal Development and Disorders
- Vitamin D Research Studies
- Ophthalmology and Visual Impairment Studies
- Drug Solubulity and Delivery Systems
- COVID-19 diagnosis using AI
- Diabetes Management and Education
- Machine Learning in Healthcare
- Infant Health and Development
- Neurological and metabolic disorders
Dr. Mohan's Diabetes Specialities Centre
2016-2025
Madras Diabetes Research Foundation
2015-2025
Sankara Nethralaya
2020-2023
Creative Commons
2020-2023
Oil and Natural Gas Corporation (India)
2023
Vellore Institute of Technology University
2023
L V Prasad Eye Institute
2020
Public Health Foundation of India
2020
Institute of Public Health Bengaluru
2020
London School of Hygiene & Tropical Medicine
2020
To assess the role of artificial intelligence (AI)-based automated software for detection diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus photography taken using a smartphone-based device validate it against ophthalmologist's grading.Three hundred one patients with type 2 diabetes underwent retinal Remidio 'Fundus on phone' (FOP), device, at tertiary care centre in India. Grading was performed ophthalmologists International Clinical (ICDR) classification scale. STDR...
To evaluate the sensitivity and specificity of "fundus on phone' (FOP) camera, a smartphone based retinal imaging system, as screening tool for diabetic retinopathy (DR) detection DR severity in comparison with 7-standard field digital photography.Single-site, prospective, comparative, instrument validation study.301 patients (602 eyes) type 2 diabetes underwent standard seven-field fundus photography both Carl Zeiss camera indigenous FOP at tertiary care centre South India. Grading was...
The COVID-19 pandemic resulted in a national lockdown India from midnight on 25 March 2020, with conditional relaxation by phases and zones 20 April. We evaluated the impact of terms healthcare provisions, physical health, mental health social well-being within multicentre cross-sectional study India.The SMART is an ongoing house-to-house survey conducted across regions including 11 states 1 union territory to diabetes its complications community. During lockdown, we developed online...
Diabetic retinopathy (DR) is an emerging preventable cause of blindness in India. All India Ophthalmology Society (AIOS) and Vitreo-Retinal (VRSI) have initiated several measures to improve DR screening This article a consensus statement the AIOS task force VRSI on practical guidelines Although there are regional variations prevalence diabetes at present, all States should screen their population for its complications. The purpose identify people with sight-threatening (STDR) so that they...
Diabetic retinopathy (DR) at risk of vision loss (referable DR) needs to be identified by retinal screening and referred an ophthalmologist. Existing automated algorithms have mostly been developed from images acquired with high cost mydriatic cameras cannot applied in the settings used most low- middle-income countries. In this prospective multicentre study, we a deep learning system (DLS) that detects referable DR using handheld non-mydriatic fundus camera non-technical field workers 20...
National estimates of the prevalence vision impairment and blindness in people with diabetes are required to inform resource allocation. People more susceptible conditions such as diabetic retinopathy that can impair vision; however, these often missed national studies. This study aims determine risk factors India. Data from SMART-India study, a cross-sectional survey coverage 42 147 Indian adults aged 40 years older, collected using complex sampling design, were used obtain nationally...
The newest developments in the IoMT, wearable devices, and communications systems to offer smart healthcare services have made human life age of pervasive computing wiser. sector may transform thanks IoMT. Through software Information Communication Technology (ICT), IoMT links patients, professionals, careers. Ambient Assisted Lifestyle (AAL) allows it incorporate new technology into day-to-day activities. Edge computation cloud technologies are essential achieving this goal meet needs...
Purpose: To evaluate the sensitivity and specificity of smartphone-based nonmydriatic (NM) retinal camera in detection diabetic retinopathy (DR) sight-threatening DR (STDR) a tertiary eye care facility. Methods: Patients with diabetes underwent photography NM fundus before mydriasis standard 7-field desktop mydriatic after mydriasis. was graded using international clinical classification system by two expert ophthalmologists masked to each other patient's identity. The sensitivity,...
Diabetic retinopathy (DR), a prevalent microvascular complication of diabetes, is the fifth leading cause blindness worldwide. Given critical nature disease, it paramount that individuals with diabetes undergo annual screening for early and timely detection DR, facilitating prompt ophthalmic assessment intervention. However, which involves assessing visual acuity retinal examination through ophthalmoscopy or photography, presents significant global challenge due to massive volume requiring...
Purpose: To assess the proportion of people with type 2 diabetes mellitus (T2DM) diabetic retinopathy (DR) and sight-threatening DR (STDR) associated risk factors in select eye-care facilities across India. Methods: In this observational study, data T2DM presenting for first time at retina clinic India was recorded. Data collected 2016 over 6 months included information on systemic, clinical, ocular parameters. International Clinical Diabetic Retinopathy (ICDR) classification scale used to...
Introduction Previous epidemiological studies have reported on the prevalence of diabetic kidney disease (DKD) and retinopathy (DR) from India. The aim this study is to evaluate effect DKD development new-onset DR sight-threatening (STDR) in Asian Indians with type 2 diabetes (T2D). Research design methods was done anonymized electronic medical record data people T2D who had undergone screening for renal work-up as part routine follow-up at a tertiary care center Chennai, South baseline...
To evaluate the ability of an artificial intelligence (AI) model, ChatGPT, in predicting diabetic retinopathy (DR) risk.