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
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
911-914Commentaires et corrections
Type : ErratumIn