The Use of Artificial Intelligence in Gastroenterology: A Glimpse Into the Present

Human-like artificial intelligent system for predicting invasion depth of esophageal squamous cell carcinoma using magnifying narrow-band imaging endoscopy: a retrospective, multi-center study

(2023) Lihui Zhang et al.   Clinical and Translational Gastroenterology

Considering Biased Data as Informative Artifacts in AI-Assisted Health Care

(2023) Kadija Ferryman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Real-Time Evaluation of Helicobacter pylori Infection by Convolution Neural Network During White-Light Endoscopy: A Prospective, Multicenter Study (With Video)

(2023) Yuqin Shen et al.   Clinical and Translational Gastroenterology

Using Artificial Intelligence to Predict Cirrhosis From Computed Tomography Scans

(2023) Nikhilesh R. Mazumder et al.   Clinical and Translational Gastroenterology

Development of Electronic Health Record-Based Machine Learning Models to Predict Barrett's Esophagus and Esophageal Adenocarcinoma Risk

(2023) Prasad G. Iyer et al.   Clinical and Translational Gastroenterology

Development and Validation of a Machine Learning System to Identify Reflux Events in Esophageal 24-Hour pH/Impedance Studies

(2023) Margaret J. Zhou et al.   Clinical and Translational Gastroenterology

Artificial Intelligence–Assisted Optical Diagnosis: A Comprehensive Review of Its Role in Leave-In-Situ and Resect-and-Discard Strategies in Colonoscopy

(2023) Maysaa El Zoghbi et al.   Clinical and Translational Gastroenterology

Deep Learning and Minimally Invasive Endoscopy: Automatic Classification of Pleomorphic Gastric Lesions in Capsule Endoscopy

(2023) Miguel Mascarenhas et al.   Clinical and Translational Gastroenterology