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Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data.

Chang HuRavishankar K IyerBrian D JuranBryan M McCauleyElizabeth J AtkinsonJohn E EatonAhmad Hassan AliKonstantinos N Lazaridis
Published in: BMC gastroenterology (2023)
In a large PSC cohort, we identified clinical and laboratory risk factors for CCA development and demonstrated the first AI based predictive models that performed significantly better than commonly used PSC risk scores. More predictive data modalities are needed for clinical adoption of these models.
Keyphrases
  • artificial intelligence
  • big data
  • electronic health record
  • machine learning
  • deep learning
  • data analysis