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Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.

Duk Ju KimIn Chul NamDoo Ri KimJeong Jae KimIm-Kyung HwangJeong Sub LeeSung Eun ParkHyeonwoo Kim
Published in: PloS one (2024)
The artificial intelligence model for the automatic detection and evaluation of catheter position during chest PCD on chest radiographs demonstrated acceptable diagnostic performance and could assist radiologists and clinicians in the early detection of catheter malposition and malfunction during chest percutaneous catheter drainage.
Keyphrases
  • ultrasound guided
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • minimally invasive
  • label free
  • sensitive detection
  • neural network