3D printed models and Artificial Intelligence: A review of their impact in robotic surgery training

Intelligent Surgery Pub Date : 2023-01-01 DOI:10.1016/j.isurg.2023.08.002

Sidney Moses Amadi , Jinlei Mao , Zhihao Zhu , Xin Wang , Xiaodong Xu , Liang Ma , Zhifei Wang

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Abstract

In the contemporary era, technological advancements have emerged as a highly valuable asset. One area that has experienced a significant surge in utilization within the field of surgical practice is robotic surgery. However, despite the rapid and widespread adoption of robotic surgical systems, there exists a notable deficiency in the development of a comprehensive framework for training. To address this gap, an extensive literature review was conducted focusing on training and benchmarks in the domain of robotic surgery. The objective of this research endeavor is to furnish a roadmap for the cultivation of robotic surgical skills among novice surgeons with the novel technology of 3D printed hydrogel bio-models. We aim to elucidate examples of efficacious educational tools and techniques, underscore the utmost importance of simulation, and explore expert perspectives regarding the potential of 3D-printed hydrogel bio-printed models and artificial intelligence in facilitating advancements in the realm of robotic surgery training.

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3D打印模型和人工智能:回顾它们对机器人手术培训的影响

在当代，技术进步已经成为一项非常宝贵的资产。在外科实践领域中，机器人手术的应用激增。然而，尽管机器人手术系统得到了迅速和广泛的采用，但在开发一个全面的培训框架方面存在着明显的不足。为了解决这一差距，我们对机器人手术领域的训练和基准进行了广泛的文献综述。本研究的目的是利用3D打印水凝胶生物模型的新技术，为新手外科医生培养机器人手术技能提供路线图。我们的目标是阐明有效的教育工具和技术的例子，强调模拟的重要性，并探讨关于3d打印水凝胶生物打印模型和人工智能在促进机器人手术培训领域进步方面的潜力的专家观点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent Surgery

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