NRT-FW-HTF: NSF Traineeship in the Advancement of Surgical Technologies

NRT-FW-HTF：NSF 外科技术进步培训

• 批准号: 2125528
• 负责人: Brian Mann
• 金额: $ 300万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125528&HistoricalAwards=false
• 关键词: NRT; FW; HTF; NSF; Traineeship

Rapid changes in surgical technologies have created new demands on the future engineering workforce. For example, future engineers will create intelligent surgical instruments, autonomous robots that use artificial intelligence and machine learning to make clinical decisions, and tools that augment the performance and capabilities of surgeons. This will require a convergence of skillsets and knowledge to traverse technological, regulatory, ethical, and societal hurdles to create technologies that safely and successfully meet modern challenges. Most graduate engineering programs excel at teaching the fundamental tenets of their respective disciplines. However, graduate engineering curricula often lack the training that enables students to transcend their disciplines and engage in convergent research that involves not just other engineers, but also professionals from other STEM fields, medicine, business, and law. By engaging with these other disciplines, this traineeship will provide a more holistic and innovative approach for the professional formation of engineers to impact the future of advanced surgical technologies. This National Science Foundation Research Traineeship (NRT) award to Duke University will train Master’s and Ph.D. students in the interdisciplinary fields of engineering, computer science, data science, and surgical technologies. This project anticipates training a total of 230 students, including 30 NRT-funded trainees from Engineering, Computer Science, Math, Science and Society, and Statistics. The vision for this traineeship is to provide a new research and training framework for engineering and computer science graduate students to access other disciplines and thereby design advanced surgical technologies that integrate medical provider, societal, end-user, and patient needs throughout development and testing.The proposed traineeship model combines classroom-based, research-based, and professional development activities completed concurrently over two years, leading to four core learning outcomes: (1) a common knowledge base; (2) subject expertise across multiple, convergent disciplines; (3) a translational experience at the forefront of surgical technology research and development; and (4) professional development opportunities that prepare students for both academic and industry-based careers in surgical technology. A specific novelty of the proposed program is the use of topical primers interconnected with mini design challenges in which trainees will shadow a surgeon, use current surgical tools and robots, and take knowledge primers in robotics, surgery, machine learning, rapid prototyping, ethics, intellectual property, and medical law; these activities are designed to enable students to acquire a diverse knowledge base and necessary professional development quickly. Trainees will also receive feedback from stakeholders such as surgeons and external board members from industry to provide further professional development.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

外科技术的快速变化对未来的工程劳动力产生了新的需求。例如，未来的工程师将创造智能手术器械，使用人工智能和机器学习做出临床决策的自主机器人，以及增强外科医生性能和能力的工具。这将需要技能和知识的融合，以跨越技术、法规、伦理和社会障碍，创造出安全和成功地应对现代挑战的技术。大多数工程学研究生课程擅长教授各自学科的基本原理。然而，工程学研究生课程往往缺乏培训，使学生能够超越自己的学科，从事不仅涉及其他工程师，而且还涉及其他STEM领域、医学、商业和法律领域的专业人员的融合研究。通过与这些其他学科的接触，这一培训将为工程师的专业形成提供一种更全面和更具创新性的方法，以影响先进外科技术的未来。这项授予杜克大学的国家科学基金会研究培训(NRT)奖将培养工程、计算机科学、数据科学和外科技术等跨学科领域的硕士和博士生。该项目预计将培训230名学生，其中包括30名由NRT资助的工程、计算机科学、数学、科学与社会、统计等专业的学员。这一培训的愿景是为工程和计算机科学研究生提供一个新的研究和培训框架，以访问其他学科，从而设计先进的外科技术，在整个开发和测试过程中整合医疗提供者、社会、最终用户和患者的需求。拟议的培训模式结合了两年多同时完成的基于课堂的、基于研究的和专业发展活动，导致四个核心学习成果：(1)共同的知识库；(2)跨多个融合学科的学科专业知识；(3)外科技术研究和开发的前沿的翻译经验；以及(4)专业发展机会，为学生在外科技术领域的学术和行业职业生涯做好准备。拟议计划的一个具体创新之处是使用与微型设计挑战相互关联的局部入门知识，受训人员将跟踪外科医生，使用当前的手术工具和机器人，并学习机器人学、外科手术、机器学习、快速原型制作、伦理、知识产权和医疗法方面的知识入门知识；这些活动旨在使学生能够快速获得多样化的知识基础和必要的专业发展。受训者还将收到相关利益相关者的反馈，如外科医生和来自行业的外部董事会成员，以提供进一步的专业发展。NSF研究培训(NRT)计划旨在鼓励为STEM研究生教育培训开发和实施大胆的、具有潜在变革性的新模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求保持一致的综合实习生模式，在高度优先的跨学科或趋同研究领域对STEM研究生进行有效培训。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。