Artificial intelligence for the management of pancreatic diseases. Issue 2 (5th December 2020)

• Record Type: Journal Article
• Authors: Gorris, Myrte; Hoogenboom, Sanne A.; Wallace, Michael B.; van Hooft, Jeanin E.
• Is Part Of: Digestive endoscopy. Volume 33:Issue 2(2021)
• Page Start: 231
• Page End: 241
• Publication Date: 2020-12-05
• Subjects: artificial intelligence -- diagnosis, computer‐assisted -- diagnostic imaging -- endoscopy -- pancreatic diseases; Digestive organs -- Diseases -- Periodicals; Digestive organs -- Diseases -- Diagnosis -- Periodicals; Endoscopy -- Periodicals; Digestive System Diseases -- diagnosis -- Periodicals; Digestive System Diseases -- therapy -- Periodicals; Endoscopy -- Periodicals; 616.3
• DOI: 10.1111/den.13875
• Languages: English
• ISSNs: 0915-5635

Abstract

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.