Elbow trauma in children: development and evaluation of radiological artificial intelligence models

Elbow trauma in children: development and evaluation of radiological artificial intelligence models

Rationale and Objectives: To develop a model using artificial intelligence (A.I.) able to detect post-traumatic injuries on pediatric elbow X-rays then to evaluate its performances in silico and its impact on radiologists’ interpretation in clinical practice. Material and Methods: A total of 1956 pe...

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Bibliographic Details
Main Authors: Clémence ROZWAG, Franck VALENTINI, Anne COTTEN, Xavier DEMONDION, Philippe PREUX, Thibaut JACQUES
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
X-ray
Elbow
Pediatrics
Convolutional neural networks (CNN)
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S277265252300008X

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