Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population

Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population

Abstract Objectives The aim of this study is to validate the effectiveness of an AI tool trained on Indian data in a Dutch medical center and to assess its ability to classify and localize fractures. Methods Conventional radiographs acquired between January 2019 and November 2022 were analyzed using...

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Main Authors: Huibert C. Ruitenbeek, Sahil Sahil, Aradhana Kumar, Ravi Kumar Kushawaha, Swetha Tanamala, Saigopal Sathyamurthy, Rohitashva Agrawal, Subhankar Chattoraj, Jasika Paramasamy, Daniel Bos, Roshan Fahimi, Edwin H. G. Oei, Jacob J. Visser
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Insights into Imaging
Subjects:
Appendicular skeleton
Conventional radiography
Fracture
Artificial intelligence
Validation
Online Access:https://doi.org/10.1186/s13244-025-02034-1
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https://doi.org/10.1186/s13244-025-02034-1

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