Artificial intelligence in orthopaedic surgery: exploring its applications, limitations, and future direction

Bone & Joint Research

article

Anthony B. Lisacek-Kiosoglous¹  Amber S. Powling¹  Andreas Fontalis¹  Ayman Gabr¹  Evangelos Mazomenos²  Fares S. Haddad¹ 

[1] Department of Trauma and Orthopaedic Surgery, University College London Hospitals NHS Foundation Trust;Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London

关键词: Orthopaedic surgery;    Artificial intelligence;    Machine learning;    Arthroplasty;    Neural networks;    Clinicians;    trauma;    patient-reported outcome measures;    radiographs;    total knee arthroplasty (TKA);    hip;    revision surgery;    bone tumours;    knee;   

DOI  :  10.1302/2046-3758.127.BJR-2023-0111.R1

学科分类：骨科学

来源: British Editorial Society Of Bone And Joint Surgery

【 摘 要 】

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.

【 授权许可】

CC BY-NC