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

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是开发一个由人工智能支持的可定制手术培训平台。 现有的手术模拟器允许受训者在对患者进行手术之前在安全的环境中练习。这些模拟器在再现手术室的挑战和提供反馈以评估受训者的表现方面受到限制。 该项目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。 该项目将为医学生、住院医生和外科医生提供一个更好的医疗培训平台，从而培养出更熟练的医疗从业人员，为患者提供更高质量的治疗结果。 这个小型企业创新研究（SBIR）第一阶段项目的重点是通过提高重建解剖结构的真实性和在培训期间实现场景定制来提高手术培训平台的质量。 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结构的特性，并客观地评估学员在每种情况下的手术表现。 人工智能将在用户培训操作之前/之后通过合成解剖结构的机械测量进行培训。 将在经验丰富的执业外科医生和经验不足/经验不足的医学生之间进行手术性能比较。 预期的结果是开发一个可定制的手术平台，提供个性化的客观反馈，以提高受训者的手术实践标准。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.