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

Clinical Information and Decision Making (1674) Decision Support for Health Professionals (1352) Artificial Intelligence (1762) Computer-Aided Diagnosis (188) Medical imaging (64) Imaging Informatics (236) Gastroenterology and Hepatology (82) Innovations and Technology in Cancer Research (40) Innovations in Cancer Diagnostic and Decision Support (77)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50448, first published .
Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

Authors of this article:

Eun Jeong Gong1, 2, 3 Author Orcid Image ;   Chang Seok Bang1, 2, 3 Author Orcid Image ;   Jae Jun Lee3, 4 Author Orcid Image ;   Hae Min Jeong1 Author Orcid Image ;   Gwang Ho Baik1, 2 Author Orcid Image ;   Jae Hoon Jeong5 Author Orcid Image ;   Sigmund Dick5 Author Orcid Image ;   Gi Hun Lee5 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Gong E, Bang C. Advancements and challenges in gastrointestinal imaging. World Journal of Clinical Cases 2024;12(33):6591 View
  2. Gong E, Bang C. Revolutionizing gastrointestinal endoscopy: the emerging role of large language models. Clinical Endoscopy 2024;57(6):759 View
  3. Gong E, Bang C, Lee J, Park J, Kim E, Kim S, Kimm M, Choi S. Large Language Models in Gastroenterology: Systematic Review. Journal of Medical Internet Research 2024;26:e66648 View
  4. Gong E, Bang C, Lee J. Edge Artificial Intelligence Device in Real-Time Endoscopy for Classification of Gastric Neoplasms: Development and Validation Study. Biomimetics 2024;9(12):783 View
  5. Levi L, Ye K, Fieux M, Renteria A, Lin S, Xing L, Ayoub N, Patel Z, Nayak J, Hwang P, Chang M. Machine Learning of Endoscopy Images to Identify, Classify, and Segment Sinonasal Masses. International Forum of Allergy & Rhinology 2025;15(5):524 View