Background This study evaluated the effect of an artificial intelligence (AI)-based clinical
decision support system on the performance and diagnostic confidence of endoscopists in …

Aims Barretts esophagus related neoplasia (BERN) is difficult to detect and characterize
during endoscopy, even for expert endoscopists. We aimed to assess the add-on effect of an …

The evaluation and assessment of Barrett's esophagus is challenging for both expert and
nonexpert endoscopists. However, the early diagnosis of cancer in Barrett's esophagus is …

Background and Aims Artificial Intelligence (AI) is rapidly evolving in gastrointestinal (GI)
endoscopy. We undertook a systematic review and meta-analysis to assess the performance …

Esophageal cancer remains as one of the top ten causes of cancer-related death in the
United States. The primary risk factor for esophageal adenocarcinoma is the presence of …

These findings align with observations from other studies, where endoscopists were found
not to consistently adhere to AI recommendations. In a recent publication, Fockens et al …

Background and aims The aim of this study was to develop and externally validate a
computer-aided detection (CAD) system for the detection and localization of Barrett's …

Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough
screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting …

Background Artificial intelligence (AI) is increasingly being used to detect neoplasia and
interpret endoscopic images. The T stage of Barrett's carcinoma is a major criterion for …

Introduction. Barrett's oesophagus (BE) is a precursor to oesophageal adenocarcinoma
(OAC). Endoscopic surveillance is performed to detect dysplasia arising in BE as it is likely …