Rajiv Raman
Biographic Data
| ID | 6684375 |
|---|---|
| NAME | Rajiv Raman |
| GIVEN NAMES | Rajiv |
| FAMILY NAME | Raman |
| SIGNATURE | RAMAN R |
| AFFILIATIONS | Sankara Nethralaya |
| ORCID | 0000-0001-5842-0233 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Knowledge, attitude, and practice of diabetes in patients with and without sight-threatening diabetic retinopathy from two secondary eye care centres in India
Patients who had not developed STDR had poorer KAP about diabetes and diabetes-related eye diseases. This is an important issue to address as the risk of their progressing to STDR is high unless appropriate steps to improve their knowledge/awareness and lifestyle practice are introduced early
Comparison of Visual Parameters Between Normal Individuals and People with Low Vision in a Virtual Environment
Patients with Low vision are known to experience difficulties in executing activities of daily living and visual search due to reduction in vision. There is a need to translate clinical parameters into a real world that is relevant so as to understand the patient's functional vision; this can be possible with virtual reality (VR). This prospective study included 53 normal and 30 low vision subjects older than 18 years of age in a tertiary care ce…
Barriers to diabetes awareness and self-help are influenced by people's demographics
Aim: To determine whether barriers to diabetes awareness and self-help differ in South Asian participants of different demographic characteristics (age, gender, and literacy) with type 2 diabetes living in the United Kingdom. Methods: Six focus group discussions (FGDs) were carried out in patients who were categorized according to age (30-60 years, ≥60 years), gender (male, female) and literacy status (literate, illiterate). Data were analysed fo…
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Importance: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation. Objective: To apply deep learning to create an algorithm for automated detection of diabetic retinopathy and diabetic macular …
No prominent works on this page.
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Importance: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation. Objective: To apply deep learning to create an algorithm for automated detection of diabetic retinopathy and diabetic macular …
Barriers to diabetes awareness and self-help are influenced by people's demographics
Aim: To determine whether barriers to diabetes awareness and self-help differ in South Asian participants of different demographic characteristics (age, gender, and literacy) with type 2 diabetes living in the United Kingdom. Methods: Six focus group discussions (FGDs) were carried out in patients who were categorized according to age (30-60 years, ≥60 years), gender (male, female) and literacy status (literate, illiterate). Data were analysed fo…
Comparison of Visual Parameters Between Normal Individuals and People with Low Vision in a Virtual Environment
Patients with Low vision are known to experience difficulties in executing activities of daily living and visual search due to reduction in vision. There is a need to translate clinical parameters into a real world that is relevant so as to understand the patient's functional vision; this can be possible with virtual reality (VR). This prospective study included 53 normal and 30 low vision subjects older than 18 years of age in a tertiary care ce…
Knowledge, attitude, and practice of diabetes in patients with and without sight-threatening diabetic retinopathy from two secondary eye care centres in India
Patients who had not developed STDR had poorer KAP about diabetes and diabetes-related eye diseases. This is an important issue to address as the risk of their progressing to STDR is high unless appropriate steps to improve their knowledge/awareness and lifestyle practice are introduced early
Medicine (4 works) · Diabetes mellitus (3 works) · Retinal Diseases and Treatments (3 works) · Computer Science (2 works) · Diabetic retinopathy (2 works) · Ophthalmology (2 works) · Optometry (2 works) · Psychology (2 works) · Retinal and Optic Conditions (2 works) · Retinal Imaging and Analysis (2 works)