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Results from our first ✨Med-Gemini✨models, variants of the base Gemini multimodal models that have been tuned for the medical domain. The multimodal and long context capabilities of the Gemini models really shine in some of the capabilities. Joint work with Vivek Natarajan

Gemini 1.5 Model Family: Technical Report updates now published In the report we present the latest models of the Gemini family – Gemini 1.5 Pro and Gemini 1.5 Flash, two highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information

Part of our Med-Gemini work was a full relabelling of MedQA, revealing that at least 7.4% of examples are unfit for evaluation. Today, we open sourced these annotations alongside our evaluation script as a new standard evaluation on MedQA. A thread 🧵: github.com/Google-Health/…

Our #Gemini Models in Medicine event was a hit! Huge thanks to @KhaledSaab11 & Wei-Hung Weng from Google DeepMind for sharing their amazing work. These models will change the medical landscape! Thanks to Nordic Innovation House for the venue & to our fantastic BuzzRobot community.

Our work on human-AI collaboration for Radiology report writing is published today in Nature Medicine 🤖🤝👩‍⚕️ synergy is generally helpful, but also nuanced. Compared to the pre-print, we have also increased the number of clinical experts participating in the study to

We're exploring how AI can assist in oncology care with AMIE. Our research shows AMIE outperforms trainees. We also identify key areas for improvement such as robust supportive care (nutrition, pain management, physical therapy), longitudinal follow-up. Google AI Google DeepMind

We present our exploration into using the Articulate Medical Intelligence Explorer (AMIE) for sub-specialist medicine applications, including complex cardiomyopathies and breast cancer, and a new partnership for safe, prospective real-world validation goo.gle/3VzJMAf

Introducing our AI co-scientist, a multi-agent AI system built with Gemini 2.0. We think of it as a virtual collaborator for scientists, using advanced reasoning to synthesize a huge amount of literature, generate novel hypotheses, and suggest detailed research plans. We’re

Hypothesis generation and testing is a critical capability for AGI imo. Super excited about our AI co-scientist and other AI for Science work which are important steps towards that. We're on the cusp of an incredible new golden age of AI accelerated scientific discovery.

2 important papers nature today indicate the potential for #AI to improve diagnostic accuracy and overall clinical performance for patient management and interactions Google DeepMind Vivek Natarajan Daniel McDuff Tao Tu Alan Karthikesalingam nature.com/articles/s4158…

Excited to share new validation results of our Google DeepMind Google AI AI co-scientist! Addressing the challenge of liver fibrosis, a condition affecting millions globally with few treatments options, we've been working with Dr. Gary Peltz Stanford Medicine, exploring how

Sir Demis sharing at the Google IO stage: - AI Co-scientist - our OG Google DeepMind Gemini agents for accelerating scientific discovery and helping finding cures for complex diseases (acute myeloid leukemia, liver fibrosis and counting) - AMIE - our research AI doctor system