Artificial intelligence and computer vision in orthopaedic trauma

Author:

Prijs Jasper123ORCID,Liao Zhibin4,Ashkani-Esfahani Soheil5ORCID,Olczak Jakub6,Gordon Max6,Jayakumar Prakash7,Jutte Paul C.1,Jaarsma Ruurd L.3,IJpma Frank F. A.1,Doornberg Job N.13,

Affiliation:

1. Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands

2. Department of Surgery, Groningen University Medical Centre, Groningen, the Netherlands

3. Department of Orthopaedic & Trauma Surgery, Flinders University, Flinders Medical Centre, Adelaide, Australia

4. Australian Institute for Machine Learning, Adelaide, Australia

5. Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, USA

6. Institute of Clinical Sciences, Danderyd University Hospital, Karolinska Institute, Stockholm, Sweden

7. The University of Texas at Austin, Dell Medical School, Austin, Texas, USA

Abstract

Artificial intelligence (AI) is, in essence, the concept of ‘computer thinking’, encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the ‘why’), the current applications (the ‘what’), and the approach to unlocking its full potential (the ‘how’). Cite this article: Bone Joint J 2022;104-B(8):911–914.

Publisher

British Editorial Society of Bone & Joint Surgery

Subject

Orthopedics and Sports Medicine,Surgery

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