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medgemma-ae-detection
AlphaRaven/medgemma-ae-detection
medgemma-ae-detection is a machine learning model from AlphaRaven. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
MedGemma 1.5-4B fine-tuned for visual adverse event detection from clinical photographs.
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At a glance
- License
- apache-2.0
- Model type
- gemma3
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026
- SHA
- e43535fc
Base models
Model card
From the Hugging Face model README
MedGemma AE Detection
MedGemma 1.5-4B fine-tuned for visual adverse event detection from clinical photographs.
- Base model:
google/medgemma-1.5-4b-it - Method: LoRA fine-tuning (50 epochs)
- Task: Classify skin AEs from patient photos into 21 categories (normal + 7 AE types × 3 CTCAE grades)
- AE types: maculopapular rash, acneiform rash, periorbital edema, SJS, stomatitis, pruritus, alopecia
Usage
from transformers import AutoModelForImageTextToText, AutoProcessor
model = AutoModelForImageTextToText.from_pretrained("AlphaRaven/medgemma-ae-detection")
processor = AutoProcessor.from_pretrained("google/medgemma-1.5-4b-it")
Part of the Clinical Trial Simulation Engine pipeline.
- Type
- gemma3
- License
- apache-2.0
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026