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Using artificial intelligence to predict choledocholithiasis: can machine learning models abate the use of MRCP in patients with biliary dysfunction?

Joshua BlumSam HunnJules SmithFa Yu ChanRichard Turner
Published in: ANZ journal of surgery (2024)
Machine learning models can accurately assess a patient's risk of choledocholithiasis and could assist in identifying patients who could forgo an MRCP and proceed directly to intervention. Ongoing validation on prospective data is necessary to refine their accuracy and clinical utility.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • randomized controlled trial
  • oxidative stress
  • case report
  • electronic health record
  • data analysis