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

I-Corps：基于云的集中式人工智能 (AI) 视频分析，用于增强插管记录和持续质量控制

• 批准号: 2405662
• 负责人: Ran Yang
• 金额: $ 5万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2405662&HistoricalAwards=false
• 关键词: Corps; Centralized; Cloud; Based; Artificial

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.

该I-Corps项目的更广泛的影响/商业潜力是开发人工智能（AI）具有医疗视频分析的平台。目前，医疗专业人员经常面临及时的患者护理报告的挑战。该技术旨在使他们能够上传过程视频并立即获得基本文档。该项目的最初重点是气道管理，包括紧急插管等关键程序。此外，该技术可以通过加速完成基本文档和质量保证任务的完成来优化工作流程，从而有效地减少了提供者的伯伦斯。这种效率可能会转化为直接患者护理，改善患者结果以及升高的紧急医疗服务标准的更多时间。此I-Corps项目基于开发人工智能（AI）基于人工智能（AI）的深度学习神经元网络，以分析医疗视频并准确地输出医疗程序中的事件。该技术代表了气道管理技术的广泛研究以及AI在临床环境中的应用，特别关注视频larryngoscopes。现代视频Larryngoscopes的插管视频在每个框架中都用来注释气道解剖，最终在一个全面的数据集中。该数据集为神经网络培训和验证提供了信息。该技术旨在提供AI解决方案，以迅速，准确地解释和理解复杂的医疗程序。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准来通过评估来诚实地支持支持。