DOI : 10.1055/s-00000012

Endoscopy

Issue S 02 · Volume 56 · April 2024 DOI: 10.1055/s-014-59488


ESGE Days 2024
Berlin, Germany, 25.–27.04.2024

Ian Gralnek
Abstracts (HTML) Abstracts (PDF) List of Authors
OP251
Ram mohan, R. M.; Joy, M.; Magam, S. G.; Natt, D.; Magam, S. R.; Pannikodu, L.; Desai, J.; Mustacchia, P.: Reliability Concerns: Can AI Interpret Nuanced Medical and Ethical Scenarios in the Field of Gastroenterology
OP252
Lee, B.; Keum, B.; Ahn, S.; Jeon, H. J.; Kim, S.; Jeen, Y. T.; Chun, H. J.: Prediction of Lymph Node Metastasis from Whole Slide Pathology Images of Early Gastric Cancer using a 2 step Machine Learning Approach
OP253
Wu, L.; Wu, A.; Honing, J.; Tan, W. K.; Markowetz, F.; Fitzgerald, R.; Pietro, M. D.: Machine learning-based endoscopic classification for superficial mucosal lesions in hereditary diffuse gastric cancer
OP254
Schupack, D.; Sood, S.; Shalini, S.; Fetzer, J.; Leggett, C.; Boardman, L.; Coelho-Prabhu, N.: Development of an artificial intelligence model to identify duodenal polyps in patients with Familial Adenomatous Polyposis (FAP)
OP255
Yang, Y. J.; Cho, B. J.; Jang, H. J.: Clinical usefulness of AI-assisted small bowel localization and lesion detection in capsule endoscopy