CC BY-NC-ND 4.0 · Endosc Int Open 2019; 07(12): E1616-E1623
DOI: 10.1055/a-1010-5705
Review
Owner and Copyright © Georg Thieme Verlag KG 2019

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

Alanna Ebigbo*
1  Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
,
Christoph Palm*
2  Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany
3  Regensburg Center of Health Sciences and Technology, OTH Regensburg – Germany
,
Andreas Probst
1  Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
,
Robert Mendel
2  Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany
3  Regensburg Center of Health Sciences and Technology, OTH Regensburg – Germany
,
Johannes Manzeneder
1  Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
,
Friederike Prinz
1  Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
,
Luis A. de Souza
2  Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany
4  Department of Computing, Federal University of São Carlos – Brazil
,
João P. Papa
5  Department of Computing, São Paulo State University – Brazil
,
Peter Siersema
6  Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands
,
Helmut Messmann
1  Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
› Author Affiliations
Further Information

Publication History

submitted 11 June 2019

accepted after revision 31 July 2019

Publication Date:
25 November 2019 (online)

  

Abstract

Background and aim 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.

* Drs. Ebigo and Palm: These authors contributed equally.