The MedGemma collection contains Google's most capable open models for medical text and image comprehension, built on Gemma 3. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma comes in two variants: a 4B multimodal version and a 27B text-only version.
This folder is organized into several categories, each focusing on a speicific aspect of working with MedGemma models:
- Inference : How to load and run MedGemma models for inference
| Notebook Name | Description |
|---|---|
| [MedGemma]Inference_using_HuggingFace.ipynb | A simple AI tool that checks chest X-ray images to predict if the person is likely a smoker or non-smoker, based on visible lung patterns and signs using MedGemma |
| [MedGemma]Inference_using_Ollama.ipynb | Run inference with X-ray images on MedGemma model using Ollama Python library. |