[Development of the use of artificial intelligence in the management of chronic inflammatory bowel disease].

Journal: Annales de pathologie
PMID: 36997441

Abstract

Complexity of inflammatory bowel diseases (IBD) lies on their management and their biology. Clinics, blood and fecal samples tests, endoscopy and histology are the main tools guiding IBD treatment, but they generate a large amount of data, difficult to analyze by clinicians. Because of its capacity to analyze large number of data, artificial intelligence is currently generating enthusiasm in medicine, and this technology could be used to improve IBD management. In this review, after a short summary on IBD management and artificial intelligence, we will report pragmatic examples of artificial intelligence utilisation in IBD. Lastly, we will discuss the limitations of this technology.

Authors

  • Jérémy Augustin
    Département de pathologie, hôpital universitaire Henri-Mondor, assistance publique-hôpitaux de Paris, Créteil, France; Inserm U955 Team 18, université Paris-Est-Créteil, faculté de Médecine, Créteil, France. Electronic address: jeremy.augustin@aphp.fr.
  • Paul Thomas McLellan
    Département de gastroentérologie, hôpital Saint-Antoine, assistance publique-hôpitaux de Paris, Sorbonne université, Paris, France.
  • Julien Calderaro
    Department of Pathology, Henri Mondor University Hospital, Créteil, France.

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