seeghost1019/google-medgemma-4b-non-clinical 🖼️📝🔢✓ → 📝
About
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma comes in two variants: a 4B multimodal ver
Example Output
"Describe this X-ray."
Output
Based on the X-ray image provided, here's a description:
Anatomy: The image shows a chest X-ray. Key anatomical structures are visible, including the ribs, lungs, heart, and mediastinum (the space in the chest between the lungs containing the heart, major blood vessels, trachea, and esophagus).
Lung Fields: The lung fields appear clear, with no obvious consolidation, nodules, or masses.
Heart Size: The heart size appears within normal limits.
Mediastinum: The mediastinum appears unremarkable.
Bones: The ribs and clavicles are visible and appear intact.
Overall Impression: The X-ray shows a normal chest X-ray. There are no obvious signs of acute pathology.
Important Note: This is a preliminary interpretation based solely on the image. A definitive diagnosis requires a complete clinical evaluation, including the patient's medical history, physical examination findings, and potentially additional imaging studies.
Performance Metrics
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/OROcSOd3P2DgKpu2kH6Fissc0JMmp0zGqdC1yIMmk2Pgy1Fc/Xray.png",
"prompt": "Describe this X-ray.",
"temperature": 0.4,
"show_thought": false,
"max_new_tokens": 512
}
Input Parameters
- image
- 上傳醫療影像 (可選)
- prompt
- 輸入醫療問題
- temperature
- 溫度
- show_thought
- 是否顯示模型的思考過程?
- max_new_tokens
- 最大輸出長度
Output Schema
Output
Version Details
- Version ID
1fedc92eee0b32f79ccd4e4a3cb8840c90d900aaa3fd2ab1d871af6090545245- Version Created
- January 19, 2026