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

Maarten R Struyvenberg1, Albert J de Groof1, Joost van der Putten2

  • 1Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.

Summary

A deep-learning computer-aided diagnosis (CAD) system shows promise in identifying Barrett's esophagus neoplasia using narrow-band imaging (NBI) zoom videos. This AI tool achieved high accuracy, aiding in the characterization of Barrett's mucosa during endoscopic evaluation.