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AlphaRaven/
medgemma-ae-detection

Name: medgemma-ae-detection
Availability: InStock

adverse-event-detection

medgemma

google/medgemma-1.5-4b-it

finetune

apache-2.0

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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

python

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.