Login / Signup

Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.

Eui Jin HwangJung Hee HongKyung Hee LeeJung Im KimJu Gang NamDa Som KimHyewon ChoiSeung Jin YooJin Mo GooChang Min Park
Published in: European radiology (2020)
• A deep learning algorithm can identify chest radiographs with post-biopsy pneumothorax in multicenter consecutive cohorts reflecting actual clinical situation. • The deep learning algorithm has a potential role as a surveillance tool for accurate and timely diagnosis of post-biopsy pneumothorax.
Keyphrases
  • deep learning
  • ultrasound guided
  • artificial intelligence
  • fine needle aspiration
  • convolutional neural network
  • machine learning
  • public health
  • cross sectional
  • high resolution
  • clinical trial
  • mass spectrometry