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cover of episode How SDSC Uses AI to Transform Surgical Training and Practice - Episode 241

How SDSC Uses AI to Transform Surgical Training and Practice - Episode 241

2025/1/13
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The AI Podcast
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Margaux Masson-Forsythe
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我热爱计算机视觉，并致力于利用AI处理大型视频和图像数据，解决实际问题并产生积极影响。我参与的项目包括分析木材扫描、卫星图像以检测森林砍伐以及外科手术视频等。我发现AI是处理海量且冗长的外科手术视频的理想工具，因为它能有效地分析这些数据并从中提取有价值的信息。我加入SDSC是因为看到了利用手术视频改善手术技术和患者预后的巨大潜力。全球数十亿人无法获得安全手术，AI可以帮助改善这一现状。收集手术视频数据是目前面临的最大挑战之一，因为许多视频都存储在个人硬盘中，难以获取。获取多样化的外科手术视频数据至关重要，以确保AI模型的泛化能力。我们结合使用现有的架构、微调模型以及开发新的方法来分析手术视频数据。与临床医生和外科专家紧密合作，理解他们的需求，才能开发出真正有用的AI模型。我们与多个非政府组织合作，利用AI技术改进手术教学，为低收入国家的学生提供反馈。作为非营利组织，我们需要在资源有限的情况下，创造性地开展AI研究，并专注于具有社会影响力的项目。AI可以帮助标准化手术流程，促进外科医生之间的交流，并改善手术教学。目前，我们主要关注的是识别手术视频中的异常情况，未来将探索更深层次的问题。

Deep Dive

Chapters
This chapter explores Margaux Masson-Forsythe's background in machine learning and computer vision, her passion for using AI for good, and what led her to work with surgical videos. It also introduces the vast amount of unused surgical video data and the challenges of working with it.
  • Margaux Masson-Forsythe's background in machine learning and computer vision.
  • Her passion for using AI for social good.
  • The existence of thousands of terabytes of unused surgical videos.
  • Challenges of working with large, temporal surgical video data.

Shownotes Transcript

Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people worldwide.