Artificial Intelligence in Surveillance of Barrett's Esophagus
Abstract
A study by Waterhouse and colleagues in a previous issue of Cancer Research describes the development and prospective validation of an artificial intelligence approach in conjunction with spectral imaging to enhance endoscopic detection of Barrett's esophagus-related neoplasia. The authors developed a novel spectral endoscope with external optics suitable for routine Barrett's esophagus surveillance with diffuse tissue reflectance to define multispectral data correlated with histopathology. A convolutional neural network was trained on the absis of the spectral signatures acquired as part of a small, prospective clinical trial to distinguish Barrett's esophagus from Barrett's esophagus neoplasia. The results from the study suggest the utility of artificial intelligence for diagnosis of Barrett's esophagus.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 01, 2021
- Source ID
- 10.1158/0008-5472.can-21-1511
Entities
People
- Anant Madabhushi
- Joseph E. Willis
- Paula Toro
Organizations
- Case Western Reserve University
- National Center for Research Resources
- National Heart, Lung, and Blood Institute
- National Institute of Biomedical Imaging and Bioengineering
- United States Department of Defense