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Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model.

Marco MinelliAndrea CinaFabio GalbuseraAlessandro CastagnaVictor SavevskiLuca Maria Sconfienza
Published in: Skeletal radiology (2022)
These results demonstrate that the model has the potential to be used in clinical settings where the replicability is important. The reported standard error of the CSA measurement is greater than 2° that is above the median error of our model, indicating a potential accuracy sufficient to be used in a clinical setting.
Keyphrases
  • deep learning
  • high resolution
  • machine learning
  • risk assessment
  • convolutional neural network
  • mass spectrometry
  • climate change