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Research paper

2021 Drexel Society of Artificial Intelligence Research Conference

The 2021 Drexel Society of Artificial Intelligence Research Conference highlights papers focused on a broad set of papers in machine learning. This was our organizations' first annual conference. It was conducted virtually via Zoom. The highlights are currently posted on YouTube.

Moyer, Ethan Jacob, Alparslan, Yigit Can
Creative Commons Attribution 4.0 InternationalView resource
Research paper

A real-time spatiotemporal AI model analyzes skill in open surgical videos

Open procedures represent the dominant form of surgery worldwide. Artificial intelligence (AI) has the potential to optimize surgical practice and improve patient outcomes, but efforts have focused primarily on minimally invasive techniques. Our work overcomes existing data limitations for training AI models by curating, from YouTube, the largest dataset of open surgical videos to date: 1997 videos from 23 surgical procedures uploaded from 50 countries. Using this dataset, we developed a multi-task AI model capable of real-time understanding of surgical behaviors, hands, and tools - the building blocks of procedural flow and surgeon skill. We

Goodman, Emmett D., Patel, Krishna K., Zhang, Yilun, Locke, William, Kennedy, Chris J., Mehrotra, Rohan, Ren, Stephen, Guan, Melody Y., Downing, Maren, Chen, Hao Wei, Clark, Jevin Z., Brat, Gabriel A., Yeung, Serena
arXiv.org perpetual, non-exclusive licenseView resource

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