University of Rochester Medical Center, Rochester, New York.
Donald and Barbara Zucker School of Medicine at Hofstra, Uniondale, New York.
J Arthroplasty. 2023 Oct;38(10):2096-2104. doi: 10.1016/j.arth.2023.05.015. Epub 2023 May 15.
BACKGROUND: Software-infused services, from robot-assisted and wearable technologies to artificial intelligence (AI)-laden analytics, continue to augment clinical orthopaedics - namely hip and knee arthroplasty. Extended reality (XR) tools, which encompass augmented reality, virtual reality, and mixed reality technology, represent a new frontier for expanding surgical horizons to maximize technical education, expertise, and execution. The purpose of this review is to critically detail and evaluate the recent developments surrounding XR in the field of hip and knee arthroplasty and to address potential future applications as they relate to AI. METHODS: In this narrative review surrounding XR, we discuss (1) definitions, (2) techniques, (3) studies, (4) current applications, and (5) future directions. We highlight XR subsets (augmented reality, virtual reality, and mixed reality) as they relate to AI in the increasingly digitized ecosystem within hip and knee arthroplasty. RESULTS: A narrative review of the XR orthopaedic ecosystem with respect to XR developments is summarized with specific emphasis on hip and knee arthroplasty. The XR as a tool for education, preoperative planning, and surgical execution is discussed with future applications dependent upon AI to potentially obviate the need for robotic assistance and preoperative advanced imaging without sacrificing accuracy. CONCLUSION: In a field where exposure is critical to clinical success, XR represents a novel stand-alone software-infused service that optimizes technical education, execution, and expertise but necessitates integration with AI and previously validated software solutions to offer opportunities that improve surgical precision with or without the use of robotics and computed tomography-based imaging.
背景:软件注入服务,从机器人辅助和可穿戴技术到人工智能(AI)分析,继续增强临床骨科 - 即髋关节和膝关节置换术。扩展现实(XR)工具包括增强现实、虚拟现实和混合现实技术,代表了扩大手术视野的新前沿,以最大限度地提高技术教育、专业知识和执行水平。本综述的目的是批判性地详细描述和评估 XR 在髋关节和膝关节置换领域的最新发展,并探讨与之相关的人工智能的潜在未来应用。
方法:在本次关于 XR 的叙述性综述中,我们讨论了(1)定义、(2)技术、(3)研究、(4)当前应用和(5)未来方向。我们强调了 XR 子集(增强现实、虚拟现实和混合现实)与髋关节和膝关节置换术日益数字化生态系统中的人工智能的关系。
结果:总结了 XR 骨科生态系统的叙述性综述,特别强调了髋关节和膝关节置换术。讨论了 XR 作为教育、术前规划和手术执行工具的应用,以及未来依赖人工智能的应用,有可能避免机器人辅助和术前高级成像的需求,而不会牺牲准确性。
结论:在一个需要大量临床经验的领域,XR 代表了一种新颖的独立软件注入服务,它可以优化技术教育、执行和专业知识,但需要与人工智能和经过验证的软件解决方案集成,以提供机会,提高手术精度,而无需使用机器人和基于计算机断层扫描的成像。
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