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

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