MSk Lab, Sir Michael Uren Hub, Imperial College London, London, United Kingdom.
PLoS One. 2021 Nov 23;16(11):e0260471. doi: 10.1371/journal.pone.0260471. eCollection 2021.
There is a growing interest in the application of artificial intelligence (AI) to orthopaedic surgery. This review aims to identify and characterise research in this field, in order to understand the extent, range and nature of this work, and act as springboard to stimulate future studies. A scoping review, a form of structured evidence synthesis, was conducted to summarise the use of AI in orthopaedics. A literature search (1946-2019) identified 222 studies eligible for inclusion. These studies were predominantly small and retrospective. There has been significant growth in the number of papers published in the last three years, mainly from the USA (37%). The majority of research used AI for image interpretation (45%) or as a clinical decision tool (25%). Spine (43%), knee (23%) and hip (14%) were the regions of the body most commonly studied. The application of artificial intelligence to orthopaedics is growing. However, the scope of its use so far remains limited, both in terms of its possible clinical applications, and the sub-specialty areas of the body which have been studied. A standardized method of reporting AI studies would allow direct assessment and comparison. Prospective studies are required to validate AI tools for clinical use.
人工智能(AI)在骨科手术中的应用越来越受到关注。本综述旨在确定和描述该领域的研究,以了解这项工作的范围、种类和性质,并为未来的研究提供动力。我们进行了范围综述,这是一种结构化的证据综合形式,旨在总结 AI 在骨科中的应用。文献检索(1946 年至 2019 年)确定了 222 项符合纳入标准的研究。这些研究主要是小型的和回顾性的。在过去三年中,发表的论文数量显著增加,主要来自美国(37%)。大多数研究使用 AI 进行图像解释(45%)或作为临床决策工具(25%)。脊柱(43%)、膝关节(23%)和髋关节(14%)是最常研究的身体部位。人工智能在骨科中的应用正在增长。然而,迄今为止,其应用范围仍然有限,无论是在其可能的临床应用方面,还是在已研究的身体亚专科领域方面。需要采用标准化的报告方法来评估 AI 研究。需要前瞻性研究来验证 AI 工具的临床应用。