From Models to Clinics: Translating Diabetic Retinopathy AI Research into Real-World Medical Imaging Systems
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.
