Diagnostic Accuracy of Artificial Intelligence (AI) to Detect Early Neoplasia in Barrett's Esophagus: A Non-comparative Systematic Review and Meta-Analysis

Accuracy of artificial intelligence–assisted detection of esophageal cancer and neoplasms on endoscopic images: a systematic review and meta‐analysis

(2021) Si Min Zhang et al.   Journal of Digestive Diseases

ID: 3522405 DETECTION OF EARLY ESOPHAGEAL NEOPLASIA IN BARRETT’S ESOPHAGUS USING REAL TIME ARTIFICIAL INTELLIGENCE: A MULTICENTER EXTERNAL VIDEO VALIDATION STUDY

(2021) Jason B. Samarasena et al.   GASTROINTESTINAL ENDOSCOPY

Barrett’s esophagus with low-grade dysplasia: high rate of upstaging at Barrett’s esophagus referral units suggests progression rates may be overestimated

(2021) Edward H. Tsoi et al.   GASTROINTESTINAL ENDOSCOPY

Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)

(2020) Albert J. de Groof et al.   GASTROINTESTINAL ENDOSCOPY

Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video)

(2020) Rintaro Hashimoto et al.   GASTROINTESTINAL ENDOSCOPY

A computer-assisted algorithm for narrow-band-imaging–based tissue characterization in Barrett’s esophagus

(2020) Maarten R. Struyvenberg et al.   GASTROINTESTINAL ENDOSCOPY

Accuracy of artificial intelligence–assisted detection of upper GI lesions: a systematic review and meta-analysis

(2020) Thomas KL. Lui et al.   GASTROINTESTINAL ENDOSCOPY

Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist

(2020) Jean-Paul Salameh et al.   BMJ-British Medical Journal

Computer-aided diagnosis of esophageal cancer and neoplasms in endoscopic images: a systematic review and meta-analysis of diagnostic test accuracy

(2020) Chang Seok Bang et al.   GASTROINTESTINAL ENDOSCOPY

The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy

(2019) Jeroen de Groof et al.   United European Gastroenterology Journal

Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multi-Step Training and Validation Study with Benchmarking

(2019) A.J. de Groof et al.   GASTROENTEROLOGY

Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma

(2018) Alanna Ebigbo et al.   GUT

Endoscopic management of Barrett’s esophagus: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

(2017) Bas Weusten et al.   ENDOSCOPY

Discordance Among Pathologists in the United States and Europe in Diagnosis of Low-Grade Dysplasia for Patients With Barrett's Esophagus

(2017) Prashanth Vennalaganti et al.   GASTROENTEROLOGY

Detection of lesions in dysplastic Barrett’s esophagus by community and expert endoscopists

(2016) Dirk Schölvinck et al.   ENDOSCOPY

Computer-aided detection of early neoplastic lesions in Barrett’s esophagus

(2016) Fons van der Sommen et al.   ENDOSCOPY

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

Prospective, Controlled Tandem Endoscopy Study of Narrow Band Imaging for Dysplasia Detection in Barrett's Esophagus

(2008) Herbert C. Wolfsen et al.   GASTROENTEROLOGY