Summary of Capabilities Of Gemini Models in Medicine, by Khaled Saab et al.
Capabilities of Gemini Models in Medicine
by Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G.T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Ben Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale Webster, Joelle Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
First submitted to arxiv on: 29 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A new family of multimodal models, called Med-Gemini, is introduced that can excel in a wide range of medical applications. These models are built on the core strengths of Gemini models, which have advanced reasoning capabilities and can access up-to-date medical knowledge. The Med-Gemini models can seamlessly use web search and be tailored to novel modalities using custom encoders. The models are evaluated on 14 medical benchmarks and achieve state-of-the-art performance on 10 of them, surpassing the GPT-4 model family on every benchmark where a direct comparison is viable. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Med-Gemini is a new type of AI that can help doctors and researchers with their work. It’s like a super-smart assistant that can understand lots of different types of information, from medical records to videos. Med-Gemini is really good at finding the most important information and answering questions about it. It even beats human experts in some tasks! The results show that Med-Gemini has a lot of potential to help people with their health. |
Keywords
» Artificial intelligence » Gemini » Gpt
