At Google I/O 2025, Google introduced MedGemma, a powerful suite of open-source AI models built on the Gemma 3 architecture, designed to advance multimodal medical understanding. The suite includes MedGemma 4B, a 4-billion parameter model for joint image-text tasks like interpreting chest X-rays or dermatology scans, and MedGemma 27B, a text-only model tuned for deep clinical reasoning and advanced medical text analysis. These models are accessible via Hugging Face and deployable through Google Cloud’s Vertex AI for production use. Optimized for tasks such as diagnostic support, triage, and medical report generation, MedGemma is also fine-tunable using methods like LoRA or prompt engineering. This release marks a major step toward democratizing medical AI development, enabling developers to build scalable healthcare applications that combine visual and textual medical intelligence.
Google AI Releases MedGemma: An Open Suite of Models Trained for Performance on Medical Text and Image Comprehension (Marktechpost)
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