medgemma1.5

medgemma1.5

221 Downloads Updated 5 hours ago

MedGemma 1.5 4B is an updated version of the MedGemma 4B model.

vision 4b

ollama run medgemma1.5

curl http://localhost:11434/api/chat \
  -d '{
    "model": "medgemma1.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='medgemma1.5',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'medgemma1.5',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

Name

5 models

Size

Context

Input

medgemma1.5:latest

3.3GB · 128K context window · Text, Image · 5 hours ago

medgemma1.5:latest

3.3GB

128K

Text, Image

medgemma1.5:4b

3.3GB · 128K context window · Text, Image · 5 hours ago

medgemma1.5:4b latest

3.3GB

128K

Text, Image

Readme

MedGemma 1.5 4B is an updated version of the MedGemma 1 4B model.

MedGemma 1.5 4B expands support for several new medical imaging and data processing applications, including:

High-dimensional medical imaging: Interpretation of three-dimensional volume representations of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI).
Whole-slide histopathology imaging (WSI): Simultaneous interpretation of multiple patches from a whole slide histopathology image as input.
Longitudinal medical imaging: Interpretation of chest X-rays in the context of prior images (e.g., comparing current versus historical scans).
Anatomical localization: Bounding box–based localization of anatomical features and findings in chest X-rays.
Medical document understanding: Extraction of structured data, such as values and units, from unstructured medical lab reports.
Electronic Health Record (EHR) understanding: Interpretation of text-based EHR data.

In addition to these new features, MedGemma 1.5 4B delivers improved accuracy on medical text reasoning and modest improvement on standard 2D image interpretation compared to MedGemma 1 4B.

Reference

![MedGemma](/assets/library/medgemma/26dc19d7-11f9-420e-904e-d12ccc9c7ea6)

MedGemma 1.5 4B is an updated version of the MedGemma 1 4B model.

MedGemma 1.5 4B expands support for several new medical imaging and data processing applications, including:

- **High-dimensional medical imaging:** Interpretation of three-dimensional volume representations of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI).
- **Whole-slide histopathology imaging (WSI):** Simultaneous interpretation of multiple patches from a whole slide histopathology image as input.
- **Longitudinal medical imaging:** Interpretation of chest X-rays in the context of prior images (e.g., comparing current versus historical scans).
- **Anatomical localization:** Bounding box–based localization of anatomical features and findings in chest X-rays.
- **Medical document understanding:** Extraction of structured data, such as values and units, from unstructured medical lab reports.
- **Electronic Health Record (EHR) understanding:** Interpretation of text-based EHR data.

In addition to these new features, MedGemma 1.5 4B delivers improved accuracy on medical text reasoning and modest improvement on standard 2D image interpretation compared to MedGemma 1 4B.

### Reference

[Model card](https://developers.google.com/health-ai-developer-foundations/medgemma/model-card)

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