Radiographic Detection of Post-Traumatic Bone Fractures: Contribution of Artificial Intelligence Software to the Analysis of Senior and Junior Radiologists

Radiographic Detection of Post-Traumatic Bone Fractures: Contribution of Artificial Intelligence Software to the Analysis of Senior and Junior Radiologists

Objectives: The aims of this study were: (a) to evaluate the performance of an artificial intelligence (AI) software package (Boneview Trauma, Gleamer) for the detection of post-traumatic bone fractures in radiography as a standalone; (b) used by two radiologists (osteoarticular senior and junior);...

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Bibliographic Details
Main Authors: Andrea Dell’Aria, Denis Tack, Najat Saddiki, Sonia Makdoud, Jean Alexiou, François-Xavier De Hemptinne, Ivan Berkenbaum, Carine Neugroschl, Nunzia Tacelli
Format: Article
Language:English
Published: Ubiquity Press 2024-04-01
Series:Journal of the Belgian Society of Radiology
Subjects:
artificial intelligence
musculoskeletal
fracture
cbct
diagnosis
Online Access:https://account.jbsr.be/index.php/up-j-jbsr/article/view/3574

Internet

https://account.jbsr.be/index.php/up-j-jbsr/article/view/3574

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