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Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs.

Taehee LeeSu Yeon AhnJihang KimJong Sun ParkByoung Soo KwonSun Mi ChoiJin Mo GooChang Min ParkJu Gang Nam
Published in: European radiology (2023)
• A deep learning-based prognostic model for idiopathic pulmonary fibrosis was developed using 6063 radiographs. • The prognostic performance of the model was comparable-to-higher than forced vital capacity, and was independent from FVC in all three external test cohorts. • A modified gender-age-physiology index replacing diffusing capacity for carbon monoxide with the deep learning model showed higher performance than the original index in two external test cohorts.
Keyphrases
  • idiopathic pulmonary fibrosis
  • deep learning
  • interstitial lung disease
  • artificial intelligence
  • convolutional neural network
  • mental health