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1. Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection

2. Features of colorectal adenomas among young patients with Lynch syndrome according to path_MMR: Results from the PRED-IdF registry

5. Small-bowel capsule endoscopy in patients with Meckel’s diverticulum: clinical features, diagnostic workup, and findings. A European multicenter I-CARE study

15. A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy

16. Nouveautés dans la prise en charge des angiodysplasies digestives.

19. Small-bowel capsule endoscopy in patients with Meckel’s diverticulum: clinical features, diagnostic workup, and findings. A European multicenter I-CARE study

20. Artificial Intelligence-assisted Analysis of Pan-enteric Capsule Endoscopy in Patients with Suspected Crohn's Disease: A Study on Diagnostic Performance.

22. Efficacy and safety of combination targeted therapies in immune-mediated inflammatory disease: the COMBIO study

23. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

25. Nomenclature and Definition of Atrophic Lesions in Small Bowel Capsule Endoscopy: A Delphi Consensus Statement of the International CApsule endoscopy REsearch (I-CARE) Group

26. Evaluation by a Machine Learning System of Two Preparations for Small Bowel Capsule Endoscopy: The BUBS (Burst Unpleasant Bubbles with Simethicone) Study

27. Device and method for producing a digital video classifier

28. L'étude BUBS (Bursting Unpleasant Bubbles with Simethicone) montrel'intérêt de la simethicone dans la préparation des vidéocapsules dugrêle

30. Key research questions for implementation of artificial intelligence in capsule endoscopy

31. Prospective evaluation of third-generation small bowel capsule endoscopy videos by independent readers demonstrates poor reproducibility of cleanliness classifications

32. KILLING TWO BIRDS WITH ONE STONE: THE FIRST MULTISYSTEM-COMPATIBLE, ARTIFICIAL INTELLIGENCE SOLUTION FOR SMALL-BOWEL CAPSULE ENDOSCOPY

33. Intraoperative random biopsies of strictureplasty sites can detect early small-bowel adenocarcinoma in patients with Crohn's disease

34. Feasibility and diagnostic yield of small-bowel capsule endoscopy in patients with surgically altered gastric anatomy: the SAGA study

35. Intraoperative random biopsies of strictureplasty sites can detect early small-bowel adenocarcinoma in patients with Crohn's disease

36. ID: 3519521 FEASIBILITY AND DIAGNOSTIC YIELD OF SMALL BOWEL CAPSULE ENDOSCOPY IN PATIENTS WITH SURGICALLY ALTERED GASTRIC ANATOMY

37. L’IA appliquée à la vidéocapsule endoscopique de l’intestin grêle : état de l’art et perspectives

38. PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy

39. Développement et validation d'une solution d'intelligence artificiellepour évaluer la qualité de la préparation intestinale en vidéocapsuleendoscopique du grêle

40. Feasibility and diagnostic yield of small-bowel capsule endoscopy in patients with surgically altered gastric anatomy: the SAGA study

41. Poor Quality of Small Bowel Capsule Endoscopy Images Has a Significant Negative Effect in the Diagnosis of Small Bowel Malignancy

42. A Highly Sensitive Neural Network-Based algorithm For Assessing the Cleanliness of Small Bowel During Capsule Endoscopy

43. Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn's disease in small bowel capsule endoscopy: An international Delphi consensus statement.

44. Poor Quality of Small Bowel Capsule Endoscopy Images Has a Significant Negative Effect in the Diagnosis of Small Bowel Malignancy

46. Drastic decrease of urgent endoscopies outside regular working hours during the Covid-19 pandemic in the paris area

47. CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy

48. Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn’s disease in small bowel capsule endoscopy: An international Delphi consensus statement

49. Intelligence artificielle et endoscopie : le meilleur des mondes ?

50. A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy.

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