Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method

Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method

Abstract Background Bone age (BA) assessment performed by artificial intelligence (AI) is of growing interest due to improved accuracy, precision and time efficiency in daily routine. The aim of this study was to investigate the accuracy and efficiency of a novel AI software version for automated BA...

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Bibliographic Details
Main Authors: Christian Booz, Ibrahim Yel, Julian L. Wichmann, Sabine Boettger, Ahmed Al Kamali, Moritz H. Albrecht, Simon S. Martin, Lukas Lenga, Nicole A. Huizinga, Tommaso D’Angelo, Marco Cavallaro, Thomas J. Vogl, Boris Bodelle
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:European Radiology Experimental
Subjects:
Age determination by skeleton
Algorithms
Artificial intelligence
Image processing (computer-assisted)
Retrospective studies
Online Access:https://doi.org/10.1186/s41747-019-0139-9

Internet

https://doi.org/10.1186/s41747-019-0139-9

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