期刊
JOURNAL OF ARTHROPLASTY
卷 38, 期 10, 页码 2096-2104出版社
CHURCHILL LIVINGSTONE INC MEDICAL PUBLISHERS
DOI: 10.1016/j.arth.2023.05.015
关键词
arthroplasty; augmented reality; virtual reality; mixed reality; extended reality
类别
This review critically details recent developments surrounding XR in the field of hip and knee arthroplasty and discusses potential future applications related to AI. XR, as a stand-alone software-infused service, optimizes technical education, execution, and expertise in orthopaedic surgery.
Background: Software-infused services, from robot-assisted and wearable technologies to artificial intelligence (AI)eladen analytics, continue to augment clinical orthopaedics d 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 tomographyebased imaging. (c) 2023 Elsevier Inc. All rights reserved.
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