Vision transformer artificial intelligence model detects diabetic retinopathy with high accuracy
Artificial intelligence for early detection of diabetic retinopathy: A vision transformer-based approach.
Asma ElAdel … Mourad Zaied
PloS one · 2026
Background
Early identification of diabetic retinopathy (diabetic retinopathy), which is a primary cause of vision impairment globally, is a crucial phasis for effective intervention and treatment.
Methods
This paper proposes a Vision Transformer (Vision Transformer)-based model, specifically using a Compact Convolutional Transformer (Compact Convolutional Transformer), for early automated detection of diabetic retinopathy.
97%
Results
97%
correctly identified diabetic eye disease in nearly all cases checked
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Conclusion
These results highlight the potential of transformer-based designs in medical picture analysis, as well as the implications for telemedicine and e-health solutions in real-time, especially in cases of low-resource settings.