Research Projects

Diabetic Macular Edema is a major healthcare issue in rural areas, primarily due to factors like prolonged diabetes, reduced physical activity, impaired family function, and diabetes-related complications. The primary treatment is Anti-Vascular Endothelial Growth Factor therapy, but its effectiveness varies among patients. The complex, time-consuming, and costly process of screening is limited in developing countries like India. Deep learning, a technology that mimics the human brain structure, has been used to automate pattern recognition tasks and streamline the prediction process. This technology can predict the response to anti-Vascular Endothelial Growth Factor injections based on pre-treatment values, providing a promising avenue for improving management in resource-constrained settings. However, no study has implemented Deep Learning algorithms for eye screening applications on an Field Programmable Gate Array, which could revolutionize the efficiency and accessibility of these critical diagnostic procedures.