SBIR Phase I: Proposal For The Assessment Of The Feasibility Of An Objective Surgeon Assessment Platform.

该小型企业创新研究（SBIR）第一阶段项目的更广泛影响/商业潜力将导致更广泛地采用更新的医疗技术，增加医疗器械公司的收入，降低培训成本，并减少因医疗器械滥用或缺乏适当培训而造成的责任。研究表明，手术技能与各种患者结局直接相关，但很少有工具可以可靠且经济地衡量手术熟练程度。仅仅提供客观的手术熟练度测量是不够的;评估方法还必须确定任务期间的困难区域，以提高外科医生未来的表现。提出的创新是一种客观和可扩展的方法，使用在手术模拟中收集的头部和手部运动跟踪数据来测量手术能力，并将新型深度学习算法应用于分析。通过在培训过程中为外科医生提供实时反馈，该项目将使外科医生能够快速改进专业设备的培训，从而更广泛地采用新技术。通过在全国各地的医学院和手术室采用这个手术评估平台，将能够客观评估手术熟练程度，从而减少培训时间和成本，并降低由于技能不发达而导致的医疗错误风险。这个小企业创新研究（SBIR）第一阶段项目旨在开发一个创新的，深度学习手术培训和评估平台，以提高虚拟现实（VR）手术培训计划的商业可行性。VR手术培训技术通过允许无限制的手术练习和排练，在提高学习效率方面具有巨大的潜力;然而，如果没有可靠评估性能的能力，这些平台就无法充分发挥其潜力。该应用程序将把模拟环境转化为技术技能评估的工具，以防止学员在没有首先证明关键领域的能力的情况下毕业。本提案中开发的新型专有软件算法将允许上述应用，并通过跟踪和分析手部和头部运动作为手术专业知识的替代措施，广泛改善培训效率和患者安全性。外科医生评估平台将通过确定最重要的头部和手部运动数据来开发，以在小型概念验证研究中收集和验证所得评估数据集，同时满足收集，存储和分析如此大的挑战，表示“高”之义该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的评估来支持。影响审查标准。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will lead to broader adoption of newer medical technologies and increased revenue for medical device companies, decreased training costs, and decreased liability from misuse or lack of appropriate training on medical devices. Research has shown that surgical skill is directly related to a variety of patient outcomes, yet there are few tools that can reliably and affordably measure surgical proficiency. Providing objective measurements of surgical proficiency is not enough; the assessment method must also identify areas of difficulty during a task to improve the surgeon's future performance. The proposed innovation is an objective and scalable way to measure procedural competency using head and hand motion-tracking data collected in a surgical simulation and applying novel, deep-learning algorithms to the analysis. By providing surgeons with real-time feedback during training, this project will allow surgeons to rapidly improve training on specialized devices, thus leading to wider adoption of new technology. Adoption of this surgical assessment platform in medical schools and operating rooms across the country will enable an objective assessment of surgical proficiency, thus reducing training time and costs and lowering risk of medical error due to underdeveloped skills.This Small Business Innovation Research (SBIR) Phase I project seeks to develop an innovative, deep-learning Surgical Training and Assessment Platform to increase the commercial viability of a Virtual Reality (VR) surgical training program. VR surgical training technology holds enormous potential in improving the efficiency of learning by allowing for unlimited practice and rehearsal of surgical procedures; however, without the ability to reliably assess performance, such platforms cannot be used to their full potential. This application will translate the simulation environment into a vehicle for technical skills assessment to prevent trainees from graduating to independent practice without first proving competency in critical areas. The novel, proprietary software algorithms developed in this proposal will allow for the above applications and broad improvements to training efficiency and patient safety through the tracking and analysis of hand and head motion as a surrogate measure for surgical expertise. The Surgeon Assessment Platform will be developed by determining the most vital head and hand motion data to collect and validating the resulting assessment dataset in a small proof-of-concept study, while meeting the challenge of collecting, storing, and analyzing such a large, high-fidelity dataset.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.