A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept study.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Published Date: Sep 22, 2021

Abstract

BACKGROUND AND AIMS: Current artificial intelligence (AI)-based solutions for capsule endoscopy (CE) interpretation are proprietary. We aimed to evaluate an AI solution trained on a specific CE system (Pillcam®, Medtronic) for the detection of angiectasias on images captured by a different proprietary system (MiroCam®, Intromedic).

Authors

  • Charles Houdeville
    Sorbonne Université, Centre d'Endoscopie Digestive, Hôpital Saint-Antoine, APHP, Paris, France.
  • Marc Souchaud
    ETIS UMR 8051 (CY Paris Cergy University, ENSEA, CNRS), Cergy, France.
  • Romain Leenhardt
    Sorbonne University, Department of Hepato-Gastroenterology, APHP, Saint Antoine Hospital, Paris, France.
  • Hanneke Beaumont
    Amsterdam Universitair Medische Centra, Amsterdam, Netherlands.
  • Robert Benamouzig
    Hopital Avicenne, APHP, Bobigny, France.
  • Mark McAlindon
    Royal Hallamshire Hospital, Sheffield Teaching Hospitals, Sheffield, United Kingdom.
  • Sylvie Grimbert
    Department of Hepato-gastroenterology, Groupe hospitalier Diaconesses Croix Saint Simon, Paris, France.
  • Dominique Lamarque
    Université de Versailles St-Quentin en Yvelines, Hôpital Ambroise Paré, France.
  • Richard Makins
    Cheltenham General Hospital, Cheltenham, Gloucestershire, United Kingdom.
  • Jean-Christophe Saurin
    Department of Hepato-gastroenterology, E. Herriot Hospital, Hospices civils de Lyon, Lyon, France.
  • Aymeric Histace
    ETIS, Université de Cergy-Pontoise, ENSEA, CNRS, Cergy-Pontoise Cedex, France.
  • Xavier Dray
    Sorbonne University, Department of Hepato-Gastroenterology, APHP, Saint Antoine Hospital, Paris, France; ETIS, Université de Cergy-Pontoise, ENSEA, CNRS, Cergy-Pontoise Cedex, France.

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