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Artificial intelligence assisted pterygium diagnosis: current status and perspectives
Bang Chen1,2, Xin-Wen Fang1,2, Mao-Nian Wu1,2
1School of Information Engineering, Huzhou University, Huzhou 313000, Zhejiang Province, China.
International Journal of Ophthalmology
|September 19, 2023
Summary
Artificial intelligence (AI) shows promise in diagnosing pterygium, an eye condition causing discomfort and vision loss. AI tools, using machine learning and computer vision, can improve early detection and management of this common ocular disease.
Area of Science:
- Ophthalmology
- Medical Artificial Intelligence
Background:
- Pterygium is a common ocular disease causing discomfort and vision impairment.
- Early and accurate diagnosis is crucial for effective pterygium management.
Purpose of the Study:
- To provide an overview of artificial intelligence (AI)-assisted pterygium diagnosis.
- To summarize recent studies on AI diagnostic performance for pterygium.
- To analyze the advantages, limitations, and future of AI in pterygium diagnosis.
Main Methods:
- Review of AI techniques including machine learning, deep learning, and computer vision.
- Summary of recent studies evaluating AI-based systems for pterygium detection, classification, and segmentation.
Main Results:
- AI demonstrates promising potential in assisting clinicians with pterygium diagnosis.
- AI-based systems have been evaluated for their diagnostic performance in recent studies.
- Analysis of AI's strengths and weaknesses in pterygium diagnosis.
Conclusions:
- AI offers efficient and accurate diagnostic tools for pterygium.
- Further development of AI applications can enhance the management of this prevalent ocular disease.
