QuEST Diabetic Retinopathy Detection

QuEST Diabetic Retinopathy Detection

Diabetic Retinopathy (DR) is the most common microvascular complication in diabetes. Retinal imaging is the most widely used method of retinopathy screening due to its high sensitivity in detecting retinopathy. "QuEST Diabetic Retinopathy Detection” is an AI based solution, to classify the fundus images into its severity grading for detecting Diabetic Retinopathy. Based on the diagnosis, patients can consult ophthalmologist for second level diagnosis further.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.



  • AI/DL based diabetic retinopathy detection
    Diagnosis at the edge using Intel AI based edge device (UP2 board)
  • Optimized inferencing at the edge using Intel OpenVINO
    Optimized DL model using Intel Distribution of OpenVINO for inferencing on the edge


WorldwideIntel® Core™ Processor FamilyIntel® Movidius™On-premise (Private Cloud, Other)Torch/PyTorchHealthcareModels can be trained - requires labeled dataAI ApplianceLinux Intel® Distribution for PythonIntel® Distribution of OpenVINO™ toolkitOtherMedical imaging, analysis and diagnosticsDeep Learning