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©The Author(s) 2025.
World J Gastroenterol. Oct 7, 2025; 31(37): 111327
Published online Oct 7, 2025. doi: 10.3748/wjg.v31.i37.111327
Table 1 Glossary of technical terms used in artificial intelligence applications for gastric diseases
Technical term
Simplified definition
CADe AI systems that automatically identify and highlight abnormal areas during endoscopy
CADx AI systems that classify detected lesions into diagnostic categories (e.g., benign vs malignant)
CNN AI architecture designed to analyze visual information from endoscopic images
Edge computingProcessing AI calculations directly on local devices rather than remote servers, enabling real-time analysis
LLM General-purpose AI systems like GPT-4 that can understand and generate human-like text
Multi-agent architecturesSystems where multiple specialized AI components work together to solve complex clinical problems
Context windowThe amount of information (text, images) an AI model can analyze simultaneously
One-shot learningAI’s ability to learn from a single example, reducing the need for large training datasets


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