$Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating$

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating

Background In infant abuse investigations, dating of skeletal injuries from radiographs is desirable to reach a clear timeline of traumatic events. Prior studies have used infant birth-related clavicle fractures as a surrogate to develop a framework for dating of abuse-related fractures. Objective T...

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Veröffentlicht in:	Pediatric radiology 2022-10, Vol.52 (11), p.2206-2214
Hauptverfasser:	Tsai, Andy, Grant, P. Ellen, Warfield, Simon K., Ou, Yangming, Kleinman, Paul K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Abuse Age determination Algorithms Artificial intelligence Babies Birth Chronology Clavicle Correlation coefficients Dating Deep learning Estimation Fractures Imaging Infants Machine learning Medical records Medicine Medicine & Public Health Neuroradiology Nuclear Medicine Oncology Original Article Pediatrics Radiographs Radiography Radiology Root-mean-square errors Ultrasound
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