Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs

Background and Objectives: Commonly being the first step in trauma routine imaging, up to 67% fractures are missed on plain radiographs of the thoracolumbar (TL) spine. The aim of this study was to develop a deep learning model that detects traumatic fractures on sagittal radiographs of the TL spine...

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Detalles Bibliográficos
Autores principales: Rosenberg, Guillermo Sánchez, Cina, Andrea, Schiró, Giuseppe Rosario, Giorgi, Pietro Domenico, Gueorguiev, Boyko, Alini, Mauro, Varga, Peter, Galbusera, Fabio, Gallazzi, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330443/
https://www.ncbi.nlm.nih.gov/pubmed/35893113
http://dx.doi.org/10.3390/medicina58080998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330443/
https://www.ncbi.nlm.nih.gov/pubmed/35893113
http://dx.doi.org/10.3390/medicina58080998

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