AI Article Synopsis
- Pterygium is a common eye condition that can lead to discomfort and impaired vision, highlighting the need for early and accurate diagnosis.
- The paper discusses how artificial intelligence (AI), including techniques like machine learning and computer vision, is being leveraged to improve pterygium diagnosis through enhanced detection and classification methods.
- It also evaluates the benefits and challenges of using AI in this context and explores future advancements that could lead to better diagnostic tools for pterygium.
Article Abstract
Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with pterygium diagnosis. This paper provides an overview of AI-assisted pterygium diagnosis, including the AI techniques used such as machine learning, deep learning, and computer vision. Furthermore, recent studies that have evaluated the diagnostic performance of AI-based systems for pterygium detection, classification and segmentation were summarized. The advantages and limitations of AI-assisted pterygium diagnosis and discuss potential future developments in this field were also analyzed. The review aims to provide insights into the current state-of-the-art of AI and its potential applications in pterygium diagnosis, which may facilitate the development of more efficient and accurate diagnostic tools for this common ocular disease.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475638 | PMC |
| http://dx.doi.org/10.18240/ijo.2023.09.04 | DOI Listing |
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