IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images
Published:Dec 15, 2025 15:36
•1 min read
•ArXiv
Analysis
This article introduces a research paper on using a specific AI technique (IMILIA) to predict inflammation in Inflammatory Bowel Disease (IBD) from medical images. The focus is on interpretability, which is a key aspect of trust and usability in medical AI. The source is ArXiv, indicating it's a pre-print or research paper.
Key Takeaways
- •Focuses on using AI for medical image analysis (specifically H&E whole slide images).
- •Addresses the problem of inflammation prediction in IBD.
- •Emphasizes interpretability of the AI model (IMILIA).
- •Published on ArXiv, suggesting it's a research paper or pre-print.
Reference
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