©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
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 computing | Processing 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 architectures | Systems where multiple specialized AI components work together to solve complex clinical problems |
| Context window | The amount of information (text, images) an AI model can analyze simultaneously |
| One-shot learning | AI’s ability to learn from a single example, reducing the need for large training datasets |
- Citation: Gong EJ, Woo J, Lee JJ, Bang CS. Role of artificial intelligence in gastric diseases. World J Gastroenterol 2025; 31(37): 111327
- URL: https://www.wjgnet.com/1007-9327/full/v31/i37/111327.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i37.111327