The artificial intelligence driven on the development of diabetic retinopathy prognostic scoring tool among type 2 diabetes mellitus patients: A review.

Key Points

• AI-driven tools enhance early risk prediction for diabetic retinopathy, improving patient outcomes.
• Current tools require broader external validation to ensure reliability across various populations.
• Effective calibration of prognostic models is crucial for accurate risk assessments in diverse patient groups.
• Routine clinical adoption hinges on successful validation of these AI-driven tools in real-world settings.

Abstract