Journal
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
Volume 36, Issue 1, Pages 20-24Publisher
WILEY
DOI: 10.1111/jgh.15354
Keywords
Endoscopy; Esophagus; Stomach; Upper GI
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AI has recently been introduced to assist endoscopists in the detection and diagnosis of upper GI neoplasia. However, current AI studies for upper GI endoscopy are smaller pilot studies, and researchers lack large volume, well-annotated datasets.
White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing upper gastrointestinal (GI) pathology. However, missed lesions remain a challenge. To overcome interobserver variability and learning curve issues, artificial intelligence (AI) has recently been introduced to assist endoscopists in the detection and diagnosis of upper GI neoplasia. In contrast to AI in colonoscopy, current AI studies for upper GI endoscopy are smaller pilot studies. Researchers currently lack large volume, well-annotated, high-quality datasets in gastric cancer, dysplasia in Barrett's esophagus and early esophageal squamous cell cancer. This review will look at the latest studies of AI in upper GI endoscopy, discuss some of the challenges facing researchers, and predict what the future may hold in this rapidly changing field.
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