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Automated Real-Time Detection of Lung Sliding Using Artificial Intelligence: A Prospective Diagnostic Accuracy Study.

Hans Clausdorff FiedlerRoss PragerDelaney SmithDerek WuChintan DaveJared TschirhartBen WuBlake Van BerloRichard MalthanerRobert Arntfield
Published in: Chest (2024)
In this study, real-time AI-LUS showed high sensitivity and moderate specificity to identify the absence of lung sliding. Further research to improve model performance and optimize the integration of AI-LUS into existing diagnostic pathways is warranted.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • high throughput
  • high intensity