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 项目更广泛的影响/商业潜力是开发用于医疗视频分析的人工智能 (AI) 平台。目前，医疗专业人员经常面临及时患者护理报告的挑战。他们上传程序视频并立即接收必要的文件，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，该技术还可以通过加速完成必要的文件和质量保证任务来优化工作流程。有效减轻服务提供者的负担。效率可能会转化为更多的时间用于直接患者护理、改善患者治疗效果以及提高紧急医疗服务标准。该 I-Corps 项目基于开发基于人工智能 (AI) 的深度学习神经网络来分析医疗视频该技术代表了气道管理技术和人工智能在临床环境中应用的广泛研究的巅峰，特别关注现代视频喉镜的插管视频用于注释气道解剖结构。每一个该数据集为神经网络训练和验证提供信息，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。通过使用基金会的智力优点和更广泛的影响审查标准进行评估，认为值得支持。