These sources collectively introduce and explain MedGemma and MedSigLIP, two collections of open-source AI models developed by Google Health for healthcare applications. The MedGemma collection consists of generative models (4B multimodal and 27B text-only variants) designed for tasks requiring text generation, like report creation or visual question answering, and is based on the Gemma 3 architecture. MedSigLIP is a lightweight image and text encoder primarily for medical image interpretation without text generation, such as classification and retrieval. Both are part of the Health AI Developer Foundations (HAI-DEF) initiative, emphasizing flexibility, privacy, and customization through open access to model weights, allowing developers to fine-tune them for specific clinical use cases. The documents also highlight the evaluation and responsible deployment efforts for these models, aiming to advance AI in healthcare while mitigating potential risks.

Sources:

1) https://github.com/Google-Health/medgemma

2) https://github.com/Google-Health/medsiglip

3) https://research.google/blog/medgemma-our-most-capable-open-models-for-health-ai-development/

4) 2024 - https://arxiv.org/pdf/2403.08295