





Google has introduced Med-Gemini, a new family of AI models developed by Google DeepMind, designed specifically for the medical field. These models, which build on the foundations of Gemini 1.0 and 1.5 LLMs, have demonstrated superior performance in healthcare AI, outperforming GPT-4 in 10 out of 14 tasks and achieving 44.5% better performance in certain benchmarks. Med-Gemini has been particularly noted for its ability to handle complex tasks within electronic health records and for achieving a 91.1% accuracy on the US Medical Licensing Exam (USMLE). The models include Med-Gemini-L 1.0, Med-Gemini-M 1.0, Med-Gemini-M 1.5, and have capabilities for 2D and 3D medical imaging, as well as genomic risk assessments, showcasing their potential to revolutionize medical diagnostics and clinical reasoning.
[CV] Advancing Multimodal Medical Capabilities of Gemini https://t.co/mDBpJW4eOa - Many clinical tasks require understanding specialized data like medical images and genomics, which general-purpose large multimodal models typically lack. - This work develops Med-Gemini… https://t.co/3hewCg7Ffe
These Twin Gemini multimodal #AI model reports take the state-of-the-art of medical AI to a new level with diverse task capabilities https://t.co/ldvZKifKjM https://t.co/yVcSmeXRNK @GoogleDeepMind @GoogleAI https://t.co/ieKuXCq0Pd
Google just launched Med-Gemini 🚀, a cutting-edge AI tailored for medical tasks. It outperforms GPT-4 across the board. Achieving 91.1% accuracy on MedQA-USMLE and beating GPT-4 by 44.5% on seven benchmarks. From medical summarization to simplifying , it's reshaping healthcare! https://t.co/3Y9ABK7uoC