MedGemma: Our most capable open models for health AI development
Google DeepMind ● Covered by 4 sources
Google released MedGemma 27B Multimodal and MedSigLIP, two new medical AI models designed for healthcare applications involving text, images, and electronic health records. MedGemma 27B scores 87.7% on the MedQA medical knowledge benchmark while requiring approximately one-tenth the inference cost of DeepSeek R1, and can run on a single GPU. Developers can now fine-tune these open models for specific medical tasks like report generation and image classification while retaining full control over privacy and infrastructure.
Why it matters
We’re announcing new multimodal models in the MedGemma collection, our most capable open models for health AI development.