31 Computer Vision News Computer Vision News So you will be surprised at the same time that we will be surprised. Exactly! And that's one of the wonderful things about the field. Then, the second thing that is really important in my opinion is MONAI deploy was built upon Holoscan SDK, another open source Apache toolkit that's out there, which allows multiple AI models to be specified in a workflow where you can take the output of one AI model and feed it into multiple other AI models and so forth in the state machine approach. So I think we're going to also see this evolution of research and development going from exploration of the capabilities of a single AI model to really looking at a collection of AI models all contributing to a final clinical solution. We've already begun to lay the groundwork for supporting that via the Holoscan SDK. I look forward to seeing MONAI and Holoscan SDK continue to work together, not just in MONAI deploy, but really in the research and development from the start. Now, how does a developer on medical imaging get on this train that is already running? Become active in the community and you can do this by, first off, visit the MONAI website at monai.io. What you will see is that the community has contributed literally hundreds of tutorials that show everything from segmentation on CT images to processing of endoscopy images for surgical tool recognition. All of these different workflows, AI models and training paradigms and so forth are available typically as Jupyter Notebook tutorials within the MONAI tutorial GitHub repo, but also as videos that have been produced. One of the MONAI working groups is actually producing coursework for graduate level course where you can move by yourself. Or you could take this coursework and use it to teach a class at university level. That is something else coming out of King's College London as one of the working groups. Any success stories to share? Well, instead of sharing one, I'm going to explain four. In 2023, MONAI won four Grand Challenges for the medical imaging challenges at MICCAI. And it was all done using this with Stephen Aylward - NVIDIA
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