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Research progress in artificial intelligence assisted diabetic retinopathy diagnosis
Yun-Fang Liu1, Yu-Ke Ji2, Fang-Qin Fei3
1Department of Ophthalmology, First People's Hospital of Huzhou, Huzhou University, Huzhou 313000, Zhejiang Province, China.
International Journal of Ophthalmology
|September 19, 2023
Summary
Artificial intelligence (AI) shows promise in diagnosing diabetic retinopathy (DR), a leading cause of blindness. This review covers AI advancements in DR detection, grading, and lesion analysis, highlighting current research and future challenges.
Area of Science:
- Ophthalmology
- Medical Imaging
- Artificial Intelligence
Background:
- Diabetic retinopathy (DR) is a significant retinal vascular disease and a primary cause of global blindness.
- Early detection and treatment of DR are crucial for preventing vision loss.
Purpose of the Study:
- To summarize research progress on artificial intelligence (AI) models for diabetic retinopathy (DR) diagnosis.
- To discuss the limitations and challenges in current AI research for DR.
Main Methods:
- Review of AI models, including machine learning and deep learning (DL) algorithms.
- Focus on AI applications in DR diagnosis, grading, and lesion recognition/segmentation.
Main Results:
- AI models have demonstrated good results in diagnosing, grading, and identifying lesions in DR.
- Significant research and application achievements have been noted in the field.
Conclusions:
- AI, particularly machine learning and DL, is a valuable tool in ophthalmology for DR management.
- Further research is needed to address existing limitations and challenges in AI for DR.
