A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology

  • The growing number of publications on the application of artificial intelligence (AI) in medicine underlines the enormous importance and potential of this emerging field of research. In gastrointestinal endoscopy, AI has been applied to all segments of the gastrointestinal tract most importantly in the detection and characterization of colorectal polyps. However, AI research has been published also in the stomach and esophagus for both neoplastic and non-neoplastic disorders. The various technical as well as medical aspects of AI, however, remain confusing especially for non-expert physicians. This physician-engineer co-authored review explains the basic technical aspects of AI and provides a comprehensive overview of recent publications on AI in gastrointestinal endoscopy. Finally, a basic insight is offered into understanding publications on AI in gastrointestinal endoscopy.

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Author:Alanna EbigboORCiD, Christoph PalmORCiDGND, Andreas Probst, Robert Mendel, Johannes Manzeneder, Friederike Prinz, Luis Antonio De Souza Jr.ORCiD, João Paulo PapaORCiD, Peter Siersema, Helmut Messmann
Parent Title (English):Endoscopy International Open
Publisher:Georg Thieme Verlag
Place of publication:Stuttgart
Document Type:Article
Year of first Publication:2019
Release Date:2020/04/30
Tag:Barrett's esophagus; Deep learning
GND Keyword:Diagnose; Maschinelles Lernen; Gastroenterologie; Künstliche Intelligenz
First Page:1616
Last Page:1623
Institutes:Fakultät Informatik und Mathematik
Regensburg Center of Health Sciences and Technology - RCHST
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
OpenAccess Publikationsweg:Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium
research focus:Lebenswissenschaften und Ethik
Licence (German):Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International