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Deep Learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: A proof of concept study.

Adarsh GhoshSaurav BoseDaniella PattonIshaan KumarVahid KhalkhaliKatherine M HenryMinhui OuyangHao HuangArastoo VossoughRaymond W SzeSusan SotardiMichael Francavilla
Published in: The British journal of radiology (2023)
In this proof-of-concept study, a deep learning-based approach performed well in identifying chest radiographs with rib fractures. These findings provide further impetus to develop deep learning algorithms for identifying rib fractures in children, especially those with suspected physical abuse or non-accidental trauma.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • young adults
  • pulmonary embolism
  • physical activity
  • functional connectivity
  • working memory