Artificial intelligence for the management of pancreatic diseases

Myrte Gorris, Sanne A. Hoogenboom, Michael B. Wallace, Jeanin E. van Hooft

Research output: Contribution to journalReview articlepeer-review

Abstract

Novel artificial intelligence techniques are emerging in all fields of healthcare, including gastroenterology. The aim of this review is to give an overview of artificial intelligence applications in the management of pancreatic diseases. We performed a systematic literature search in PubMed and Medline up to May 2020 to identify relevant articles. Our results showed that the development of machine-learning based applications is rapidly evolving in the management of pancreatic diseases, guiding precision medicine in clinical, endoscopic and radiologic settings. Before implementation into clinical practice, further research should focus on the external validation of novel techniques, clarifying the accuracy and robustness of these models.

Original languageEnglish (US)
JournalDigestive Endoscopy
DOIs
StateAccepted/In press - 2020

Keywords

  • artificial intelligence
  • diagnosis, computer-assisted
  • diagnostic imaging
  • endoscopy
  • pancreatic diseases

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Gastroenterology

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