From Models to Clinics: Translating Diabetic Retinopathy AI Research into Real-World Medical Imaging Systems
Venkata Kotam Raju Poranki
Artificial intelligence has shown strong promise in diabetic retinopathy screening, with research models achieving impressive accuracy on curated retinal image datasets. However, the path from a published model to a system that can operate reliably in real clinical environments is far more complex.