Audience
Healthcare AI developers wanting a solution offering fine-tunable models for medical text and image comprehension tasks
About MedGemma
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 currently comes in two variants: a 4B multimodal version and a 27B text-only version. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma 4B is available in both pre-trained (suffix: -pt) and instruction-tuned (suffix -it) versions. The instruction-tuned version is a better starting point for most applications.
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Specifications:
Your CT scan & MRI scan are evaluated by MedGemma 1.5 from Google Research. This is a specialized 4-billion-parameter medical AI built on Gemma 3, with a medically-tuned vision encoder (MedSigLIP) trained on de-identified medical imaging data. It reviews every slice of your scan as a complete 3D volume — just like a radiologist would.
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- Trained on medical imaging datasets including MIMIC-CXR and ChestImaGenome
- 128K token context window for processing large scan series
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Company Information
Google DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemma/medgemma/
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