Augustin Jérémy, McLellan Paul Thomas, Calderaro Julien
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.
Département de gastroentérologie, hôpital Saint-Antoine, assistance publique-hôpitaux de Paris, Sorbonne université, Paris, France.
Ann Pathol. 2023 Jun;43(3):213-221. doi: 10.1016/j.annpat.2023.02.009. Epub 2023 Mar 28.
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.
炎症性肠病（IBD）的复杂性在于其管理和生物学特性。临床诊断、血液和粪便样本检测、内窥镜检查及组织学检查是指导IBD治疗的主要手段，但这些检查会产生大量数据，临床医生难以分析。由于人工智能具有分析大量数据的能力，目前它在医学领域引发了广泛关注，这项技术有望用于改善IBD的管理。在本综述中，我们将在简要总结IBD管理和人工智能之后，介绍人工智能在IBD中应用的实际案例。最后，我们将讨论这项技术的局限性。
