Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real‐World Imaging Conditions on Barrett's Neoplasia Detection

Abstract

Endoscopic deep learning systems trained solely on high-quality images may not perform well when exposed to heterogeneous imagery, as found in routine practice. Robustness-enhancing training strategies can increase the likelihood of successful clinical implementation.