Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme

Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme

<b>Objective:</b> Reliable reading and annotation of chest X-ray (CXR) images are essential for both clinical decision-making and AI model development. While most of the literature emphasizes pulmonary findings, this study evaluates the consistency and reliability of annotations for extr...

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Bibliographic Details
Main Authors: Lea Marie Pehrson, Dana Li, Alyas Mayar, Marco Fraccaro, Rasmus Bonnevie, Peter Jagd Sørensen, Alexander Malcom Rykkje, Tobias Thostrup Andersen, Henrik Steglich-Arnholm, Dorte Marianne Rohde Stærk, Lotte Borgwardt, Sune Darkner, Jonathan Frederik Carlsen, Michael Bachmann Nielsen, Silvia Ingala
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
annotation
extrapulmonary findings
consistency
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/15/7/902
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https://www.mdpi.com/2075-4418/15/7/902

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