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

  • Alanna Ebigbo
    Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
  • Christoph Palm
    Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany
  • Andreas Probst
    Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
  • Robert Mendel
    Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany
  • Johannes Manzeneder
    Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
  • Friederike Prinz
    Department of Gastroenterology, Universitätsklinikum Augsburg, Germany
  • Luis A. de Souza
    Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany
  • João P. Papa
    Department of Computing, São Paulo State University – Brazil
  • Peter Siersema
    Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands
  • Helmut Messmann
    Department of Gastroenterology, Universitätsklinikum Augsburg, Germany

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<jats:title>Abstract</jats:title><jats:p> 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. </jats:p><jats:p>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. </jats:p><jats:p>The various technical as well as medical aspects of AI, however, remain confusing especially for non-expert physicians. </jats:p><jats:p>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.</jats:p>

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