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

Andy TsaiP Ellen GrantSimon K WarfieldYangming OuPaul K Kleinman

Published in: Pediatric radiology (2022)

Our deep learning study provides encouraging results for radiographic dating of infant clavicle fractures. With further development and validation, this model might serve as a virtual consultant to radiologists estimating fracture ages in cases of suspected infant abuse.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
pulmonary embolism
hip fracture
pregnant women