Research Article
Artificial Intelligence in The Diagnosis and Prediction of Diabetic Retinopathy
@INPROCEEDINGS{10.4108/eai.22-5-2026.2365345, author={Hanyu Zheng}, title={ Artificial Intelligence in The Diagnosis and Prediction of Diabetic Retinopathy}, proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICIAAI}, year={2026}, month={8}, keywords={Diabetic retinopathy Artificial intelligence Deep learning}, doi={10.4108/eai.22-5-2026.2365345} }- Hanyu Zheng
Year: 2026
Artificial Intelligence in The Diagnosis and Prediction of Diabetic Retinopathy
ICIAAI
EAI
DOI: 10.4108/eai.22-5-2026.2365345
Abstract
With population growth, the shortage of medical resources is inevitable and irresistible. Interdisciplinary research between artificial intelligence and the medical field is a current research hotspot, and diabetic retinopathy is one of the more mature areas of research. This paper reviews the applications of artificial intelligence (AI) in the diagnosis and prediction of diabetic retinopathy from three perspectives: attention-based mechanisms, feature fusion-based methods, and methods combining both. It also analyzes how each method improves diagnostic efficiency and accuracy. This paper aims to discuss the development and latest achievements of AI in this field, to identify the milestones and future directions of AI development.
