Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method.

Journal: European radiology

Published Date: Dec 28, 2023

Abstract

OBJECTIVES: This study aimed to evaluate the performance of artificial intelligence (AI) software in bone age (BA) assessment, according to the Greulich and Pyle (G&P) method in a German pediatric cohort.

Authors

Daniel Gräfe

Department of Pediatric Radiology, University Hospital, Leipzig, Germany. daniel.graefe@medizin.uni-leipzig.de.
Anne Bettina Beeskow

Department of Pediatric Radiology, University Hospital, Leipzig, Germany.
Roland Pfäffle

University of Leipzig, Department of Pediatrics, Leipzig, Germany
Maciej Rosolowski

Image Biopsy Lab GmbH, Vienna, Austria.
Tek Sin Chung

Image Biopsy Lab GmbH, Vienna, Austria.
Matthew David DiFranco

Image Biopsy Lab GmbH, Vienna, Austria.

Keywords

Adolescent Age Determination by Skeleton Artificial Intelligence Child Child, Preschool Female Germany Humans Infant Male Reproducibility of Results Retrospective Studies Software

External Resources

View on PubMed Access via DOI PubMed (38151536)

Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method.

Abstract

Authors

Keywords

External Resources

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