Diabetes handbook in retinal screening

Observation 1 month 2. Hands-on training 4 months and 3. Service delivery 2 months. This division ensures a smooth learning and maximal output from this training program. These sensitivity and specificity levels are comparable to previous similar studies and acceptable as per the recommendation of the National Institute for Clinical Excellence, UK.

At the end of the second phase of the training, the sensitivities and specificities of the screening of DR done by the optometrists were assessed against a retina specialist. The provision of additional training and assessment in case of below-par performance of the optometrist would make the curriculum more robust.

In addition, the inclusion of a group of experienced retina specialists by formulating a task force will have a wider recognition of this course. This study carries many future perspectives. First, in a previous study by Prasad S et al. Second, the recognition of this certificate course at the university level and by the Government authorities will provide more scope and will increase their interest of the candidates in pursuing this course. Third, this course will help to train more number of optometrists in the management of DR across the country.

This will help policymakers, NGOs, and other stakeholders in formulating and implementing strategies that will help fight DR at the community level. He is the Director of Aravind's telemedicine network and Information Technology services. Publication Type. More Filters. Computer Science, Medicine. Highly Influenced. View 3 excerpts, cites background. Computer Science, Engineering. Scientific Reports. Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening.

Medicine, Computer Science. Neural Computing and Applications. View 6 excerpts, cites background. Diabetic retinopathy detection through deep learning techniques: A review. Adobe Photoshop CC. VirtualDJ Avast Free Security.

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