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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Bibliographic Details
Main Authors: Michael Axenhus, Anna Wallin, Jonas Havela, Sara Severin, Ablikim Karahan, Max Gordon, Martin Magnéli
Format: Article
Language:English
Published: Medical Journals Sweden 2025-01-01
Series:Acta Orthopaedica
Subjects:
Osteoarthrosis
Radiological imaging
Online Access:https://actaorthop.org/actao/article/view/42702
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