Application of Artificial Intelligence to Gastroenterology and Hepatology.

Journal: Gastroenterology
Published Date: Oct 5, 2019

Abstract

Since 2010, substantial progress has been made in artificial intelligence (AI) and its application to medicine. AI is explored in gastroenterology for endoscopic analysis of lesions, in detection of cancer, and to facilitate the analysis of inflammatory lesions or gastrointestinal bleeding during wireless capsule endoscopy. AI is also tested to assess liver fibrosis and to differentiate patients with pancreatic cancer from those with pancreatitis. AI might also be used to establish prognoses of patients or predict their response to treatments, based on multiple factors. We review the ways in which AI may help physicians make a diagnosis or establish a prognosis and discuss its limitations, knowing that further randomized controlled studies will be required before the approval of AI techniques by the health authorities.

Authors

  • Catherine Le Berre
    Institut des Maladies de l'Appareil Digestif, Nantes University Hospital, France; Institut National de la Santé et de la Recherche Médicale U954 and Department of Gastroenterology, Nancy University Hospital, University of Lorraine, France.
  • William J Sandborn
    University of California San Diego, La Jolla, California.
  • Sabeur Aridhi
    University of Lorraine, Le Centre National de la Recherche Scientifique, Inria, Laboratoire Lorrain de Recherche en Informatique et ses Applications, Nancy, France.
  • Marie-Dominique Devignes
    LORIA (CNRS, Inria NGE, Université de Lorraine), Campus Scientifique, Vandœuvre-lès-Nancy, F-54506, France.
  • Laure Fournier
    PARCC UMRS 970, INSERM, Paris, France; Université Paris Cité, AP-HP, Hopital européen Georges Pompidou, Paris, France.
  • Malika Smaïl-Tabbone
    LORIA (CNRS, Inria NGE, Université de Lorraine), Campus Scientifique, Vandœuvre-lès-Nancy, F-54506, France.
  • Silvio Danese
    Inflammatory Bowel Disease Center and Department of Biomedical Sciences, Humanitas Clinical and Research Center, Humanitas University, Milan, Italy.
  • Laurent Peyrin-Biroulet
    Institut National de la Santé et de la Recherche Médicale U954 and Department of Gastroenterology, Nancy University Hospital, University of Lorraine, France. Electronic address: peyrinbiroulet@gmail.com.

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