Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality.

Journal: Journal of clinical gastroenterology
Published Date: Jul 1, 2020

Abstract

BACKGROUND: Colonoscopy is the gold standard for polyp detection, but polyps may be missed. Artificial intelligence (AI) technologies may assist in polyp detection. To date, most studies for polyp detection have validated algorithms in ideal endoscopic conditions.

Authors

  • Aymeric Becq
    Sorbonne University, Department of Hepato-Gastroenterology, APHP, Saint Antoine Hospital, Paris, France.
  • Madhuri Chandnani
    Division of Gastroenterology, Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Shishira Bharadwaj
    Division of Gastroenterology, Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Bülent Baran
    Department of Gastroenterology, Koc University Hospital, Istanbul, Turkey.
  • Kenneth Ernest-Suarez
    Gastroenterology Department, Hospital México, University of Costa Rica, San Jose, Costa Rica.
  • Moamen Gabr
    Division of Gastroenterology, Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Jeremy Glissen-Brown
    Division of Gastroenterology, Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Mandeep Sawhney
    Division of Gastroenterology, Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Douglas K Pleskow
    Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Tyler M Berzin
    Beth Israel Deaconess Medical Center and Harvard Medical School, Center for Advanced Endoscopy, Boston , MA, USA.

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