May 24, 2025
Build Medical AI with Google’s MedGemma 4B & 27B: A Complete Installation Guide
New AI innovations are happening almost everyday, but AI for healthcare, is still a sector rarely touched by tech innovators. However, Google has taken this initiative to revolutionize the Healthcare sector with its latest MedGemma models launched in the recent Google I/O Connect. These models stand out as modern tools for building intelligent medical applications. MedGemma is a family of models based on the powerful Gemma 3 architecture, fine-tuned to handle the intricacies of both medical text and image data. The MedGemma 4B variant is a multimodal model, combining a SigLIP image encoder, pre-trained on de-identified chest X-rays, dermatology, ophthalmology, and histopathology images, with a robust language model trained on a similarly rich set of medical data. These models are perfect for developer aiming to build stuff like diagnostic assistant, radiology report generator, or a dermatology triage tool. MedGemma 4B offers a powerful instruction-tuned variant to get started quickly, along with a pre-trained option for deeper experimentation. Meanwhile, the MedGemma 27B model focuses purely on text-based medical reasoning, making it ideal for tasks like clinical summarization, decision support, or answering complex medical queries with precision. Optimized for inference efficiency, it provides impressive performance straight out of the box on a range of healthcare benchmarks. If you’re a medical researcher, a healthcare AI startup, or an ML engineer looking to explore domain-specific models, MedGemma delivers a solid foundation for innovation, and this guide will show you the complete step-by-step process on how to install and run both variants locally or with GPUs in minutes.