SBIR Phase I: Integration Of Anatomical Hydrogel Phantoms With Augmented Reality And Deep Learning To Enable Automated Independent Surgical Training

这个SBIR第一阶段项目将开发新技术，以更有效地培训外科医生，并降低手术室患者的风险。目前的外科教育是不充分的，因此，没有经验的外科医生在培训期间不可避免地会给活着的病人做手术。拟议的工作将在手术室外进行，并允许他们在模拟的教育环境中接受非患者特定模型的培训。这项工作具有巨大的公共利益潜力，因为它寻求减少手术错误，并增加所有接受手术的患者的健康和安全。拟议的工作将以前所未有的方式将技术与手术模拟相结合，将教育硬件/软件包与物理解剖模型相结合，以创建身临其境的高效培训体验。该项目具有广泛改善所有医疗领域培训的巨大潜力，因为开发的教育硬件/软件包可用于教授任何复杂的任务或程序。该项目开发的原型的商业化将为参与其生产、销售和使用的人带来可观的收入；此外，该项目将改善公众的福祉以及医疗保健行业的教育和培训。该项目将开发一个原型硬件和软件培训系统，实时提供教育内容，指导培训外科医生通过模拟手术程序。开发的原型将在视觉上识别三维空间中的状态变化和对象，使用这些提示触发提示，并在外科医生与非患者特定的物理模型交互时及时提供说明、指导和医学课程；该产品将需要物理模型与软件和增强现实技术的集成，达到当今市场上无与伦比的水平。该项目将直接测试和验证组装的硬件和编程的软件，并应用统计测试来开发在可接受的参数范围内运行的初始产品。这项拟议的工作将产生一个组装的原型，这是一个硬件和软件的组合，可以指导外科医生完成在合成解剖模型上执行的完整培训程序。这一原型将经过技术验证和第一轮教育验证，为计划在第二阶段进行的更广泛的临床和教育验证做准备。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This SBIR Phase 1 project will develop novel technology to more efficiently train surgeons and reduce the risk to patients in the operating room. Current surgical education is inadequate, and as a result inexperienced surgeons inevitably end up operating on live patients during their training. The proposed work will be performed outside of the operating room and allow them to train in a simulated, educational environment on non-patient specific models. This work carries enormous potential for public benefit as it seeks to reduce surgical error and increase the health and safety of all patients undergoing surgery. The proposed work will integrate technology with surgical simulation in an unprecedented manner, combining educational hardware/software packages with physical anatomical models to create an immersive, highly effective training experience. The project carries high potential to broadly improve training for all medical fields, as the educational hardware/software packages developed can be used to teach any complex task or procedure. The commercialization of the prototype developed in the project will generate substantial income for those involved in its production, sale, and usage; additionally, the project will improve both the well-being of the public as well as the educational and training of the healthcare industry. The project will develop a prototype hardware and software training system that delivers educational content in real time, guiding a training surgeon through a simulated surgical procedure. The developed prototype will visually recognize state changes and objects in three-dimensional space, using these cues to trigger prompts and deliver instructions, guidance, and medical curricula in a timely manner as the surgeon interacts with a non-patient specific physical models; this product will require the integration of physical models with software and augmented reality technology on a level unparalleled on the market today. The project will directly test and validate the assembled hardware and programmed software and apply statistical testing to develop an initial product that performs within acceptable parameters. The proposed work will yield an assembled prototype, a combination of hardware and software that can guide a surgeon through a complete training procedure performed on a synthetic anatomical model. This prototype will have undergone technical validation and an initial round of educational validation, in preparation for the broader clinical and educational validation planned in Phase 2.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.