
Troves of unwatched surgical video footage are finding new life, fueling AI tools that help make surgery safer and enhance surgical education. The Surgical Data Science Collective (SDSC) is transforming global surgery through AI-driven video analysis, helping to close the gaps in surgical training and practice.
In this episode of the NVIDIA AI Podcast, Margaux Masson-Forsythe, director of machine learning at SDSC, discusses the unique challenges of doing AI research as a nonprofit, how the collective distills insights from massive amounts of video data and ways AI can help address the stark reality that five billion people still lack access to safe surgery.
The AI Podcast How SDSC Uses AI to Transform Surgical Training and Practice Episode 241
Learn more about SDSC, and hear more about the future of AI in healthcare by listening to the J.P. Morgan Healthcare Conference talk by Kimberly Powell, vice president of healthcare at NVIDIA.
Time Stamps 8:01 What are the opportunities and challenges of analyzing surgical videos?
12:50 Masson-Forsythe on trying new models and approaches to stay on top of the field.
18:14 How does a nonprofit approach conducting AI research?
24:05 How the community can get involved with SDSC.
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Harrison.ai has developed annalise.ai, an AI system that automates radiology image analysis to improve diagnosis speed and accuracy, and is now working on Franklin.ai to enhance histopathology diagnosis. CEO Aengus Tran emphasizes the importance of using AI in healthcare to reduce misdiagnoses and improve patient outcomes.
Matice Founder Jessica Whited on Harnessing Regenerative Species for Medical Breakthroughs
Scientists at Matice Biosciences, cofounded by regenerative biologist Jessica Whited, are using AI to study the tissue regeneration capabilities of animals like salamanders and planarians, with the goal of developing treatments to help humans heal from injuries without scarring.
Cardiac Clarity: Dr. Keith Channon Talks Revolutionizing Heart Health With AI
Caristo Diagnostics has developed an AI-powered solution called Caristo that detects coronary inflammation in cardiac CT scans by analyzing radiometric features in the surrounding fat tissue, helping physicians improve treatment plans and risk predictions.
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