metadata
license: apache-2.0
base_model: google/medgemma-1.5-4b-it
tags:
- medical
- dermatology
- adverse-event-detection
- medgemma
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.