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Artificial intelligence-assisted analysis of pan-enteric capsule endoscopy in patients with suspected Crohn's disease. A study on diagnostic performance.

Jacob Broder BrodersenMichael Dam JensenRomain LeenhardtJens KjeldsenAymeric HistaceTorben KnudsenXavier Dray
Published in: Journal of Crohn's & colitis (2023)
Using the AXARO® framework reduced the initial review time substantially while maintaining high diagnostic accuracy - suggesting its use as a rapid tool to "rule out" IBD in PCEs of patients suspected of Crohn's disease.
Keyphrases
  • artificial intelligence
  • machine learning
  • end stage renal disease
  • big data
  • ejection fraction
  • deep learning
  • newly diagnosed
  • peritoneal dialysis
  • pulmonary embolism
  • prognostic factors