A Deep Learning System for Predicting Time to Progression of Diabetic Retinopathy | SVCE Bengaluru

💻 Welcome to our channel! In today's video, we explore a cutting-edge application of deep learning in healthcare: predicting the progression of diabetic retinopathy (DR). This presentation is based on the research paper "A Deep Learning System for Predicting Time to Progression of Diabetic Retinopathy", published in Nature Medicine.

We begin with an introduction to diabetic retinopathy, discussing the challenges faced in its screening process. Then, we provide an overview of the DeepDR Plus System, a powerful deep learning model designed to predict DR progression using retinal images.

You’ll learn about the real-world impact of this system, including its ability to extend screening intervals and reduce the clinical burden on healthcare providers. Additionally, we break down the model's performance and delve into how explainability is achieved through attention maps.

By the end of this video, you’ll understand how deep learning is transforming ophthalmology and personalized healthcare through accurate risk predictions.

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💻📊 #DeepLearning #DiabeticRetinopathy #AIinHealthcare #MachineLearning #AI #Ophthalmology #HealthcareInnovation #svce