Validation of automated bone age analysis from hand radiographs in a North American pediatric population

Background Radiographic bone age assessment by automated software is precise and instantaneous. Objective The aim of this study was to evaluate the accuracy of an automated tool for bone age assessment. Materials and methods We compared a total of 586 bone age radiographs from 451 patients, which ha...

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Veröffentlicht in:	Pediatric radiology 2022-06, Vol.52 (7), p.1347-1355
Hauptverfasser:	Bowden, Jonathan J., Bowden, Sasigarn A., Ruess, Lynne, Adler, Brent H., Hu, Houchun, Krishnamurthy, Rajesh, Krishnamurthy, Ramkumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Artificial intelligence Automation Error analysis Gender Imaging Medicine Medicine & Public Health Neuroradiology Nuclear Medicine Oncology Original Article Patients Pediatrics Physical growth Puberty Race Radiographs Radiography Radiology Software Ultrasound
Online-Zugang:	Volltext
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