Journal article
Artificial intelligence fracture recognition on computed tomography: review of literature and recommendations
Abstract
PurposeThe use of computed tomography (CT) in fractures is time consuming, challenging and suffers from poor inter-surgeon reliability. Convolutional neural networks (CNNs), a subset of artificial intelligence (AI), may overcome shortcomings and reduce clinical burdens to detect and classify fractures. The aim of this review was to summarize literature on CNNs for the detection and classification of fractures on CT scans, focusing on its …
Authors
Dankelman LHM; Schilstra S; IJpma FFA; Doornberg JN; Colaris JW; Verhofstad MHJ; Wijffels MME; Prijs J
Journal
European Journal of Trauma and Emergency Surgery, Vol. 49, No. 2, pp. 681–691
Publisher
Springer Nature
Publication Date
April 2023
DOI
10.1007/s00068-022-02128-1
ISSN
1863-9933