Dahmen Jeanne, Xu Yike, Spalazzi Jeffrey P, Chekan Edward
Swimming and Diving, Texas Christian University, Fort Worth, TX, USA. (Jeanne Dahmen).
Medical Affairs, Asensus Surgical, Durham, NC, USA. (Xu, Spalazzi, and Chekan).
JSLS. 2025 Apr-Jun;29(2). doi: 10.4293/JSLS.2024.00066. Epub 2025 Apr 23.
In swimming, a combination of strength, endurance, and targeted skill training significantly enhances performance, particularly by balancing aerobic and anaerobic conditioning. Similarly, in surgery, improving motor control and stamina during lengthy operations, particularly for precise movements like suturing or tissue manipulation, is essential. This literature review aims to explore the parallels between the training paradigms of elite swimming and robotic-assisted surgical practice, focusing on skill acquisition, training methodologies, and performance-guided feedback systems. The hypothesis suggests a significant link between these training principles, offering opportunities to optimize surgeon training, particularly in robotic-assisted surgery.
A systematic review was conducted following PRISMA guidelines. A thorough examination of existing literature in both elite swimming and robotic-assisted surgery training identified key elements of skill development, feedback mechanisms, and structured progression. Sources included peer-reviewed studies on swimming techniques, cognitive training in surgery, and simulation-based training programs that emphasize performance-driven improvements.
The review identified significant parallels between swimming and robotic-assisted surgery training, with both fields emphasizing structured, feedback-driven approaches to enhance precision and skill. Techniques such as video analysis in swimming and real-time digital feedback in surgery were found to be effective in improving outcomes. Simulation-based training also plays a crucial role in refining skills and promoting adaptability in both disciplines. Applying elite swimming methodologies, particularly those centered on feedback, precision, and structured progression, could help develop key metrics to enhance surgical training programs, in robotic-assisted surgery. Future research could further optimize surgeon training, potentially leading to improved performance and better patient outcomes in robotic procedures.
在游泳运动中，力量、耐力和针对性的技能训练相结合能显著提高成绩，特别是通过平衡有氧和无氧训练来实现。同样，在外科手术中，在长时间手术过程中提高运动控制能力和耐力，尤其是在诸如缝合或组织操作等精确动作方面，至关重要。本文献综述旨在探讨精英游泳训练模式与机器人辅助手术实践之间的相似之处，重点关注技能习得、训练方法和基于表现的反馈系统。该假设表明这些训练原则之间存在显著联系，为优化外科医生培训提供了机会，尤其是在机器人辅助手术方面。
按照PRISMA指南进行了系统综述。对精英游泳和机器人辅助手术训练方面的现有文献进行全面审查，确定了技能发展、反馈机制和结构化进展的关键要素。资料来源包括关于游泳技术的同行评审研究、手术中的认知训练以及强调基于表现改进的模拟训练项目。
该综述确定了游泳和机器人辅助手术训练之间的显著相似之处，两个领域都强调采用结构化的、基于反馈的方法来提高精度和技能。游泳中的视频分析和手术中的实时数字反馈等技术被发现能有效改善结果。基于模拟的训练在这两个学科中对完善技能和提高适应性也起着关键作用。应用精英游泳方法，特别是那些以反馈、精度和结构化进展为核心的方法，有助于制定关键指标以加强机器人辅助手术中的外科培训项目。未来的研究可以进一步优化外科医生培训，可能会提高机器人手术的表现并改善患者预后。
