This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Machine Learning (1465) Decision Support for Health Professionals (1185) Gastroenterology and Hepatology (68) Digital Health Reviews (1289) Imaging Informatics (193) Computer-Aided Diagnosis (128)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33267, first published .
Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis

Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis

Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis

Authors of this article:

Chang Seok Bang1, 2, 3, 4 Author Orcid Image ;   Jae Jun Lee3, 4, 5 Author Orcid Image ;   Gwang Ho Baik1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Journals

  1. Nian B, Wang B, Wang L, Yi L, Algalil F. A Cohort Study to Compare Effects between Ulcer- and Nonulcer-Related Nonvariceal Upper Gastrointestinal Bleeding. Applied Bionics and Biomechanics 2022;2022:1 View
  2. Lin X, Wang Y, Liu Z, Lin S, Tan J, He J, Hu F, Wu X, Ghosh S, Chen M, Liu F, Mao R. Intestinal strictures in Crohn’s disease: a 2021 update. Therapeutic Advances in Gastroenterology 2022;15 View
  3. Kratter T, Shapira N, Lev Y, Mauda O, Moshkovitz Y, Shitrit R, Konyo S, Ukashi O, Dar L, Shlomi O, Albshesh A, Soffer S, Klang E, Ben Horin S, Eliakim R, Kopylov U, Margalit Yehuda R. Deep Learning Multi-Domain Model Provides Accurate Detection and Grading of Mucosal Ulcers in Different Capsule Endoscopy Types. Diagnostics 2022;12(10):2490 View
  4. Nouman Noor M, Nazir M, Khan S, Song O, Ashraf I. Efficient Gastrointestinal Disease Classification Using Pretrained Deep Convolutional Neural Network. Electronics 2023;12(7):1557 View
  5. Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior K, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63 View
  6. Aggeletopoulou I, Tsounis E, Mouzaki A, Triantos C. Creeping Fat in Crohn’s Disease—Surgical, Histological, and Radiological Approaches. Journal of Personalized Medicine 2023;13(7):1029 View
  7. Selnes O, Thorndal C, Hansen L, Eskemose S, Koulaouzidis A. Conference Report: The FutuRE oF MinimalLy InvasivE GI and Capsule DiagnosTics (REFLECT) Nyborg, Denmark, October 2023. Diagnostics 2024;14(5):458 View
  8. Mejía M, Piñeros L, Pombo L, León L, Velásquez J, Teherán A, Ayala K. Clinical and demographic features of patients undergoing video-capsule endoscopy management: A descriptive study. World Journal of Gastrointestinal Endoscopy 2024;16(7):424 View

Books/Policy Documents

  1. Blanco G, Mondragon O, Solórzano O. Artificial Intelligence in Capsule Endoscopy. View