Hackathon hosted by CMIC
9-10th November 2023
https://cmic-ucl.github.io/CMICHACKS/
Artificial Intelligence (AI)-based surgical workflows use input from multiple sources of data (e.g., medical devices, trackers, robots, cameras, etc) with different Machine Learning and Deep Learning tasks (e.g., classification, segmentation, synthesis, etc) and have been applied across different surgical and acquisition workflows. However, the diversity of data sources, pre-processing methods, training and inference methods make a challenging scenario for low-latency applications in surgery. In this hackathon, instructors aim to engage with participants to bring three learning outcomes:
- participants will learn to train, optimise, test and deploy AI models for segmentation tasks,
- participants will learn good software practices to contribute to our open-source projects aligning with medical device software standard (IEC 62304), and
- participants will have the chance to work with NVIDIA Clara AGX - A Universal computing architecture for next-generation AI medical instruments.
We hope to bring together researchers, engineers and clinicians across different departments to hack workflows for real-time AI for Surgery (development, evaluation and integration) and hopefully to sparking future collaborations.
See slides for a quick introduction: https://scikit-surgery.github.io/cmicHACKS2
Leaders: Zhehua Mao and Miguel Xochicale
Co-organisers: Steve Thompson, Sophia Bano, Matt Clarkson at UCL; and Mikael Brudfors at NVIDIA
The following is a general agenda that might have slightly changes.
| Time | Activity |
|---|---|
| 9:00 – 10:00 | Setting up |
| 10:00 – 11:00 | Welcome session |
| 11:00 -12:00 | Hacking: Intro and preparation to hack 🔗 |
| 12:00 - 13:00 | Lunch |
| 13:00 - 15:00 | Hacking: Get familiar with your data 🔗 |
| 15:00 - 15:15 | Coffee break |
| 15:15 - 17:00 | Hacking: Training AI workflow 🔗 |
| 17:00 – all night | Social |
| Time | Activity |
|---|---|
| 09:00 - 10:30 | Hacking: Evaluation of AI models with benchmarks 🔗 |
| 10:30 - 10:45 | Coffee break |
| 10:45 - 12:00 | Hacking: Optmise, test and deploy AI models in clara-agx 🔗 |
| 12:00 - 13:00 | Lunch |
| 13:00 - 14:30 | Hacking: Deploying models to nvidia-clara-agx [w/Mikael Brudfors] 🔗 |
| 14:30 – 14:45 | Coffee break |
| 14:45 - 16:30 | Hacking: Tidied up documentation and present results [w/Mikael Brudfors] 🔗 |
| 16:30 - 17:00 | Closing session |
Registration is free and you can get your tickets here The venue of the hackathon is Jeffery (Thursday) and Elvin (Friday) rooms, Level 1, main UCL Institute of Education (IOE) building, 20 Bedford Way, London WC1H 0AL. google-maps
- Participants require to bring their own computers either with CPU or GPU. Computers with GPU will be ideal to prototype models. However, we will also prepare simple AI workflows in google-colabs that does not require GPUs.
- Gmail account to prototype models in google colabs.
- Github username. Otherwise, sign up to GitHub to create an account.
- Clone https://github.com/SciKit-Surgery/cmicHACKS2.git. See further details here 🔗
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