STTR Phase I: Computerized System for Detection, Assessment, and Visualization of Intraoperative Bleeding During Robotic and Laparoscopic Surgery

STTR 第一阶段：用于机器人和腹腔镜手术期间术中出血检测、评估和可视化的计算机化系统

• 批准号: 1953822
• 负责人: Madhu Reddiboina
• 金额: $ 22.5万
• 依托单位: REDIMINDS, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953822&HistoricalAwards=false
• 关键词: STTR; Phase; Computerized; System; Detection

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to reduce the morbidity and mortality of patients undergoing surgery. Inadvertent bleeding during surgery represents a critical problem that occurs during all types of procedures on millions of patients around the world. This project will advance a robotic surgical tool system using artificial intelligence (AI) to manage intraoperative bleeding. Reduced blood loss will lead to a reduced demand for blood transfusions, reduced healthcare costs, and improved recuperation from surgery. This technology will advance a universal standard for bolt-on safety utilities to the evolving surgical tool manufacturer market.The Small Business Technology Transfer (STTR) Phase I project will advance the translation of an intelligent intraoperative system. Currently, there is no tool to detect or characterize bleeding, so the surgeon must continually monitor the camera view for bleeding and estimate the source of the bleed, which is often submerged in a pool of blood. The proposed effort will advance a prototype to assist a surgeon in detecting, visualizing, and characterizing arterial bleeding in real time during urological surgery. The source of the bleeding will be presented to the surgeon using 2D or 3D (augmented reality) overlays, enabling him/her to control the bleeding precisely and quickly. The technology fuses robotics, computer vision, and machine learning in a novel manner to produce a surgical tool that will significantly advance the current state-of-the-art.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.

该小企业技术转让 (STTR) 第一阶段项目更广泛的影响/商业潜力是降低接受手术的患者的发病率和死亡率。 手术过程中的意外出血是全球数百万患者在各种类型手术过程中出现的一个严重问题。 该项目将推进使用人工智能（AI）来管理术中出血的机器人手术工具系统。 失血量的减少将导致输血需求的减少、医疗费用的降低以及手术后恢复情况的改善。 该技术将为不断发展的手术工具制造商市场推进螺栓固定式安全设施的通用标准。小型企业技术转让 (STTR) 第一阶段项目将推进智能术中系统的转化。 目前，没有工具可以检测或表征出血，因此外科医生必须持续监控摄像机视野中的出血情况并估计出血源，出血源通常淹没在血泊中。 拟议的工作将推进一个原型，以帮助外科医生在泌尿外科手术期间实时检测、可视化和表征动脉出血。将使用 2D 或 3D（增强现实）叠加向外科医生展示出血来源，使他/她能够精确、快速地控制出血。 该技术以新颖的方式融合了机器人技术、计算机视觉和机器学习，生产出一种将显着推进当前最先进技术的手术工具。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。