Artificial intelligence in pancreaticobiliary endoscopy

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Artificial intelligence (AI) applications in health care have exponentially increased in recent years, and a few of these are related to pancreatobiliary disorders. AI-based methods were applied to extract information, in prognostication, to guide clinical treatment decisions and in pancreatobiliary endoscopy to characterize lesions. AI applications in endoscopy are expected to reduce inter-operator variability, improve the accuracy of diagnosis, and assist in therapeutic decision-making in real time. AI-based literature must however be interpreted with caution given the limited external validation. A multidisciplinary approach combining clinical and imaging or endoscopy data will better utilize AI-based technologies to further improve patient care.

Original languageEnglish (US)
Pages (from-to)25-30
Number of pages6
JournalJournal of Gastroenterology and Hepatology (Australia)
Issue number1
StatePublished - Jan 2021


  • Biliary
  • Endoscopy
  • Neoplasms < gastroenterology
  • Pancreas < gastroenterology
  • Pancreatobiliary (ERCP) < gastroenterology

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology


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