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A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus
Jiaqi Meng1,2,3,4,5, Yunxiao Song6, Wenwen He1,2,3,4,5
1Eye Institute, Eye and Ear, Nose, and Throat Hospital of Fudan University, Shanghai, China.
Translational Vision Science & Technology
|September 5, 2024
Summary
Artificial intelligence classified highly myopic eyes into four groups, revealing distinct visual function and fundus feature differences. This AI classification aids in early detection of visual deficits in myopia.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Medical Imaging
Background:
- High myopia is a significant risk factor for vision-threatening complications.
- Current classification methods for high myopia may not fully capture the spectrum of associated visual and structural changes.
Purpose of the Study:
- To develop a novel artificial intelligence (AI)-based classification system for highly myopic eyes.
- To investigate the relationship between this AI classification and contrast sensitivity function (CSF) and fundus features.
Main Methods:
- Utilized data from 616 highly myopic eyes.
- Assessed contrast sensitivity function (CSF), myopic macular degeneration (MMD) grading, macular thickness, and peripapillary retinal nerve fiber layer (p-RNFL) thickness.
- Employed principal component analysis and k-means clustering to classify eyes based on CSF and fundus features.
Main Results:
- A four-category AI classification was established, explaining 83.35% of the variance.
- Significant differences in contrast acuity, MMD prevalence, and p-RNFL thickness were observed across the AI categories.
- AI category 4 showed higher MMD grades and thinner maculas compared to AI category 3.
Conclusions:
- An AI-based classification for highly myopic eyes was successfully developed.
- This classification demonstrates a clear correlation with visual function (CSF) and structural fundus characteristics.
- The AI classification serves as a valuable tool for comprehensive evaluation and early detection of visual deficits in high myopia.
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