I-Corps: Centralized, Cloud-Based, Artificial Intelligence (AI) Video Analysis for Enhanced Intubation Documentation and Continuous Quality Control

这个I-Corps项目更广泛的影响/商业潜力是开发一个人工智能（AI）驱动的医疗视频分析平台。目前，医疗专业人员经常面临及时报告患者护理的挑战。这项技术旨在使他们能够上传手术视频并立即接收必要的文档。该项目最初的重点是气道管理，包括紧急插管等关键程序。 此外，该技术还可以通过加快完成基本文件和质量保证任务来优化工作流程，有效减轻提供者的负担。这种效率可以转化为更多的时间来直接护理病人，改善病人的治疗效果，并提高紧急医疗服务的标准。这个I-Corps项目是基于开发一个基于人工智能（AI）的深度学习神经网络来分析医疗视频并准确输出医疗过程中的事件。该技术代表了气道管理技术和AI在临床环境中应用的广泛研究的顶峰，特别关注视频喉镜。来自现代视频喉镜的插管视频用于注释每帧中的气道解剖结构，最终形成综合数据集。该数据集为神经网络的训练和验证提供信息。该技术旨在提供人工智能解决方案，帮助快速准确地解释和理解复杂的医疗程序。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of an artificial intelligence (AI)-powered platform for medical video analysis. Currently, medical professionals often face the challenge of timely patient care reporting. This technology is designed to enable them to upload procedure videos and receive immediate, essential documentation. The initial focus of the project is on airway management including critical procedures such as emergency intubation. In addition, the technology may optimize workflow by accelerating the completion of essential documentation and quality assurance tasks, effectively reducing providers’ burdens. This efficiency may translate to more time for direct patient care, improved patient outcomes, and an elevated standard of emergency medical services.This I-Corps project is based on developing an artificial intelligence (AI)-based, deep learning neural network to analyze medical videos and accurately output events in medical procedures. The technology represents the culmination of extensive research in airway management techniques and the application of AI in clinical settings, with a particular focus on video laryngoscopy. Intubation videos from modern video laryngoscopes were used to annotate airway anatomy in every frame, culminating in a comprehensive dataset. This dataset informs the neural network training and validation. The technology is designed to provide an AI solution that assists in interpreting and understanding complex medical procedures both quickly and accurately.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.