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Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma.

Aaron E KornblithNewton AddoRuolei DongRobert RogersJacqueline Grupp-PhelanAtul ButtePavan GuptaRachael A CallcutRima Arnaout
Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2021)
A deep learning classifier can accurately predict pediatric FAST views. Accurate view classification is important for quality assurance and feasibility of a multi-stage deep learning FAST model to enhance the evaluation of injured children.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • young adults
  • high resolution
  • magnetic resonance imaging
  • computed tomography
  • trauma patients