Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of artificial intelligence: a pilot study

Ebigbo Alanna et al.

The accurate differentiation between T1a and T1b Barrett’s-related cancer has both therapeutic and prognostic implications but is challenging even for experienced physicians. We trained an artificial intelligence (AI) system on the basis of deep artificial neural networks (deep learning) to differentiate between T1a and T1b Barrett’s cancer on white-light images.

Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy

Holzwanger Erik A et al.

The occurrence of false-positive alerts is an important outcome measure in computer-aided colon polyp detection (CADe) studies. However, there is no consensus definition of a false positive in clinical trials evaluating CADe in colonoscopy. We aimed to study the diagnostic performance of CADe based on different threshold definitions for false-positive alerts.

Endoscopy in patients on antiplatelet or anticoagulant therapy: British Society of Gastroenterology (BSG) and European Society of Gastrointestinal Endoscopy (ESGE) guideline update

Veitch Andrew M et al.

This article is published simultaneously in the journals Endoscopy and Gut. © 2021. European Society of Gastrointestinal Endoscopy, British Society of Gastroenterology, the Author(s) or their employer(s). This article is published by Thieme.