SBIR Phase I: Surgical training platform with customizable training scenarios enabled by 3D printing and artificial intelligence

SBIR 第一阶段：通过 3D 打印和人工智能实现具有可定制培训场景的外科培训平台

• 批准号: 2304526
• 负责人: Travis Reiss
• 金额: $ 27.5万
• 依托单位: SURGIC, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2304526&HistoricalAwards=false
• 关键词: SBIR; Phase; Surgical; training; platform

The broader impact /commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the development of a customizable surgical training platform supported by artificial intelligence. Existing surgical simulators allow trainees to practice in safe environments prior to operating on patients. These simulators are limited in recreating the challenges of the operating room and providing feedback to assess trainees’ performance. The technology developed in this project focuses on forming a better understanding of methods and techniques to recreate synthetic patient anatomy and how to provide higher quality assessments of surgical training procedures. The project will provide a platform for improved medical training of medical students, residents and surgeons that results in better skilled medical practitioners that deliver higher quality patient outcomes. This Small Business Innovation Research (SBIR) Phase I project focuses on raising the quality of surgical training platforms by improving the realism of recreated anatomy and enabling scenario customization during training. The project uses techniques of 3D printing, mechanical testing, and machine learning to characterize the properties of synthetic anatomy and objectively assess trainees’ surgical performance for each scenario. The artificial intelligence will be trained by mechanical measurements of synthetic anatomy before/after training operations from users. Comparisons of surgical performance will be conducted between experienced, practicing surgeons and inexperienced/less experienced medical students. The anticipated results are the development of a customizable surgical platform that provides objective feedback on a personalized basis to improve the standards of surgical practice among trainees.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.

这个小企业创新研究(SBIR)第一阶段项目更广泛的影响/商业潜力是开发一个由人工智能支持的可定制外科培训平台。现有的手术模拟器允许学员在给病人做手术之前在安全的环境中练习。这些模拟器在重现手术室的挑战和提供反馈以评估受训者表现方面存在局限性。在这个项目中开发的技术侧重于更好地理解重建合成患者解剖结构的方法和技术，以及如何提供更高质量的外科培训程序评估。该项目将为改善医科学生、住院医生和外科医生的医学培训提供一个平台，从而培养出更熟练的医生，提供更高质量的患者结果。这个小型企业创新研究(SBIR)第一阶段项目专注于通过改善重建解剖的真实感并在培训期间实现场景定制来提高外科培训平台的质量。该项目使用3D打印、机械测试和机器学习技术来表征合成解剖学的特性，并客观评估学员在每种情况下的手术表现。人工智能将在训练用户操作之前/之后通过合成解剖的机械测量进行训练。有经验的实习外科医生和没有经验/经验较少的医科学生将进行手术表现的比较。预期的结果是开发一个可定制的外科平台，在个性化的基础上提供客观反馈，以提高学员的外科实践标准。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。