The Use of Artificial Intelligence in Gastroenterology: A Glimpse Into the Present
Author:
Affiliation:
1. Massachusetts General Hospital, Boston, Massachusetts, USA.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Gastroenterology
Reference10 articles.
1. Artificial intelligence-assisted optical diagnosis: A comprehensive review of its role in leave-in-situ and resect-and-discard strategies in colonoscopy;El Zoghbi;Clin Transl Gastroenterol,2023
2. Real-time evaluation of Helicobacter pylori infection by convolution neural network during white-light endoscopy: A prospective, multicenter study;Shen;Clin Transl Gastroenterol,2023
3. Human-like artificial intelligent system for predicting invasion depth of esophageal squamous cell carcinoma using magnifying narrow-band imaging endoscopy: A retrospective multicenter study;Zhang;Clin Transl Gastroenterol,2023
4. Deep learning and minimally invasive endoscopy: Automatic classification of pleomorphic gastric lesions in capsule endoscopy;Mascarenhas;Clin Transl Gastroenterol,2023
5. Artificial intelligence and anorectal manometry: Automatic detection and differentiation of anorectal motility patterns - a proof of concept study;Saraiva;Clin Transl Gastroenterol,2022
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