biostudies-literatureUnknown49(2)Dankelman LHM<h4>Purpose</h4>The 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 accuracy and to evaluate the beneficial role in daily practice.<h4>Methods</h4>Literature search was performed according to the PRISMA statement, and Embase, Medline ALL, Web of Science Core Collection, Cochrane Central Register of Controlled Trials and Google Scholar databases were searched. Studies were eligible when the use of AI for the detectEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society681-691https://www.ebi.ac.uk/biostudies/studies/S-EPMC10175338biostudies-literatureArtificial intelligence fracture recognition on computed tomography: review of literature and recommendations.PMC10175338Jeray KNelissen RPoolman RGordon MJutte PGuyatt GTornetta PCourt-Brown CDoornberg JNDankelman LHMJaarsma RMoran MWalter SDMachine Learning ConsortiumRing DSprague SIJpma FFAChen NMcQueen MGroot OWijffels MWijffels MMEKerkhoffs GDoornberg JObdeijn MPetrisor BStirler VHintermann BSchwab JColaris JWAlgra PSanders DSchoolmeesters BBzovsky SWalenkamp Mvan den Bekerom MSwiontkowski MPrijs JColaris JBongers MGravesteijn BOberai TLangerhuizen DOosterhoff JHFSteyerberg EBhandari MMulders MSchipper IGoslings JCIJpma FBuijze GKeijser LDuckworth AMallee WVerhofstad MHJLaane CHofstee DJSchep NHendrickx LSchemitsch EHSchilstra SKarhade AOlczak JJanssen SBulstra AELans JfalseArtificial intelligence fracture recognition on computed tomography: review of literature and recommendations.<h4>Purpose</h4>The 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 accuracy and to evaluate the beneficial role in daily practice.<h4>Methods</h4>Literature search was performed according to the PRISMA statement, and Embase, Medline ALL, Web of Science Core Collection, Cochrane Central Register of Controlled Trials and Google Scholar databases were searched. Studies were eligible when the use of AI for the detect2023-01-01T00:00:00Z2023 Apr2025-04-22T14:40:21.7Z2025-04-06T01:08:01.137ZS-EPMC101753383628401710.1007/s00068-022-02128-1