Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how.

AI Artificial intelligence CNN CT scans Detection Machine learning clinicians haemorrhage medical images orthopaedic images orthopaedic surgery orthopaedic trauma postoperative infection radiographs trauma surgery

Journal

The bone & joint journal
ISSN: 2049-4408
Titre abrégé: Bone Joint J
Pays: England
ID NLM: 101599229

Informations de publication

Date de publication:
Aug 2022
Historique:
entrez: 1 8 2022
pubmed: 2 8 2022
medline: 3 8 2022
Statut: ppublish

Résumé

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:

Identifiants

pubmed: 35909378
doi: 10.1302/0301-620X.104B8.BJJ-2022-0119.R1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

911-914

Commentaires et corrections

Type : ErratumIn

Auteurs

Jasper Prijs (J)

Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.
Department of Surgery, Groningen University Medical Centre, Groningen, the Netherlands.
Department of Orthopaedic & Trauma Surgery, Flinders University, Flinders Medical Centre, Adelaide, Australia.

Zhibin Liao (Z)

Australian Institute for Machine Learning, Adelaide, Australia.

Soheil Ashkani-Esfahani (S)

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

Jakub Olczak (J)

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

Max Gordon (M)

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

Prakash Jayakumar (P)

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

Paul C Jutte (PC)

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

Ruurd L Jaarsma (RL)

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

Frank F A IJpma (FFA)

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

Job N Doornberg (JN)

Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.
Department of Orthopaedic & Trauma Surgery, Flinders University, Flinders Medical Centre, Adelaide, Australia.

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Classifications MeSH