Artificial intelligence in orthopaedic surgery.

IF 4.7 2区 医学 Q2 CELL & TISSUE ENGINEERING
Anthony B Lisacek-Kiosoglous, Amber S Powling, Andreas Fontalis, Ayman Gabr, Evangelos Mazomenos, Fares S Haddad
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引用次数: 6

Abstract

The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of algorithms to generate useful output, without the need of human cognition. Owing to the expanding volume of patient information collected, known as 'big data', AI is showing promise as a useful tool in healthcare research and across all aspects of patient care pathways. Practical applications in orthopaedic surgery include: diagnostics, such as fracture recognition and tumour detection; predictive models of clinical and patient-reported outcome measures, such as calculating mortality rates and length of hospital stay; and real-time rehabilitation monitoring and surgical training. However, clinicians should remain cognizant of AI's limitations, as the development of robust reporting and validation frameworks is of paramount importance to prevent avoidable errors and biases. The aim of this review article is to provide a comprehensive understanding of AI and its subfields, as well as to delineate its existing clinical applications in trauma and orthopaedic surgery. Furthermore, this narrative review expands upon the limitations of AI and future direction.

Abstract Image

人工智能在骨科手术中的应用。
人工智能(AI)的应用正在许多领域迅速发展,医疗领域也不例外。人工智能是一个总称,定义了算法的实际应用,以产生有用的输出,而不需要人类的认知。由于收集的患者信息(即“大数据”)的数量不断增加,人工智能在医疗保健研究和患者护理途径的各个方面显示出了作为有用工具的前景。在骨科手术中的实际应用包括:诊断,如骨折识别和肿瘤检测;临床和患者报告结果测量的预测模型,如计算死亡率和住院时间;以及实时康复监测和手术训练。然而,临床医生应该保持对人工智能局限性的认识,因为健全的报告和验证框架的发展对于防止可避免的错误和偏见至关重要。这篇综述文章的目的是提供一个全面的了解人工智能及其子领域,并描述其在创伤和骨科手术中的临床应用。此外,这篇叙事性评论还扩展了AI的局限性和未来方向。
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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来源期刊
Bone & Joint Research
Bone & Joint Research CELL & TISSUE ENGINEERING-ORTHOPEDICS
CiteScore
7.40
自引率
23.90%
发文量
156
审稿时长
12 weeks
期刊介绍: The gold open access journal for the musculoskeletal sciences. Included in PubMed and available in PubMed Central.
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