Development and validation of an artificial intelligence model for the classification of hip fractures using the AO-OTA framework

Background and purpose: Artificial intelligence (AI) has the potential to aid in the accurate diagnosis of hip fractures and reduce the workload of clinicians. We primarily aimed to develop and validate a convolutional neural network (CNN) for the automated classification of hip fractures based on...

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Detalhes bibliográficos

Principais autores:	Ehsan Akbarian, Mehrgan Mohammadi, Emilia Tiala, Oscar Ljungberg, Ali Sharif Razavian, Martin Magnéli, Max Gordon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Medical Journals Sweden 2024-06-01
coleção:	Acta Orthopaedica
Assuntos:	AO-OTA fracture classification artificial intelligence convolutional neural network deep learning hip fracture
Acesso em linha:	https://actaorthop.org/actao/article/view/40949
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