April 30, 2024, 4:43 a.m. | Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.18416v1 Announce Type: cross
Abstract: Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of complex multimodal data. Gemini models, with strong general capabilities in multimodal and long-context reasoning, offer exciting possibilities in medicine. Building on these core strengths of Gemini, we introduce Med-Gemini, a family of highly capable multimodal models that are specialized in medicine with the ability to seamlessly use web search, and that …

abstract access advanced applications arxiv building capabilities challenges context core cs.ai cs.cl cs.cv cs.lg data gemini general knowledge medical medicine multimodal multimodal data reasoning type understanding

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