Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study

Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study

Background and purpose: Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. The use of artificial intelligence (AI) in fracture detection has shown promise, but research focusing on hand metacarpal and phalangeal fractur...

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Detalhes bibliográficos
Main Authors: Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli
Formato: Artigo
Idioma:English
Publicado em: Medical Journals Sweden 2025-01-01
Colecção:Acta Orthopaedica
Assuntos:
Osteoarthrosis
Radiological imaging
Acesso em linha:https://actaorthop.org/actao/article/view/42702

Internet

https://actaorthop.org/actao/article/view/42702

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