NVIDIA AI Podcast How SDSC Uses AI to Transform Surgical Training and Practice - Ep. 241
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Jan 13, 2025 Margaux Masson-Forsythe, Director of Machine Learning at the Surgical Data Science Collective (SDSC), sheds light on how AI-driven video analysis revolutionizes surgical training. She shares her journey from climate tech to tackling surgical challenges, emphasizing the synergy between surgeons and computer scientists. The discussion highlights the importance of surgical videos in enhancing skills and improving patient outcomes. Margaux also touches on navigating the nonprofit landscape in AI, showcasing how creativity fuels innovation in surgical practices.
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Discovering Unused Surgical Videos
- Margaux Masson-Forsythe learned about the unused surgical video data from Dr. Donoho, a pediatric neurosurgeon.
- He had terabytes of videos on drives, highlighting the untapped potential of this data.
Challenges of Gathering Surgical Video Data
- One of the biggest challenges is simply getting surgeons to record videos, as it's not a priority.
- Another challenge is the sheer volume of data and the need for diverse sources, requiring networking and collaboration.
Building AI Tools for Surgical Data
- SDSC uses existing architectures, fine-tunes them, and sometimes combines them for temporal modeling.
- Close collaboration with clinicians is crucial for understanding their needs and ensuring useful AI tools.