NystagmusNet: Explainable Deep Learning for Photosensitivity Risk Prediction
Published:Dec 13, 2025 07:40
•1 min read
•ArXiv
Analysis
The article introduces NystagmusNet, a deep learning model designed to predict photosensitivity risk. The focus on explainability suggests an attempt to address the 'black box' nature of deep learning, which is crucial for medical applications. The use of ArXiv as the source indicates this is a pre-print, meaning the work is not yet peer-reviewed. The topic is relevant to medical AI and potentially vision science.
Key Takeaways
- •NystagmusNet is a deep learning model for predicting photosensitivity risk.
- •The model emphasizes explainability, important for medical applications.
- •The source is ArXiv, indicating a pre-print and not yet peer-reviewed.
Reference
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