Imagine an AI co-pilot for every clinician, capable of understanding both complex medical images and dense clinical text. That's the promise of MedGemma, Google's new Vision-Language Model specifically trained for the healthcare domain. But how does it work, and how can you start using it? This article is more than just an announcement—it's a deep-dive tutorial. We explore its powerful architecture, its real-world applications in radiology and clinical reasoning, and provide a step-by-step guide to the code. Learn how to run your first inference and even fine-tune MedGemma for a custom task using Hugging Face. Ready to build the future of clinical AI? Dive in to get the full pipeline.