©The Author(s) 2025.
World J Gastroenterol. Nov 14, 2025; 31(42): 112196
Published online Nov 14, 2025. doi: 10.3748/wjg.v31.i42.112196
Published online Nov 14, 2025. doi: 10.3748/wjg.v31.i42.112196
Table 1 Artificial intelligence terminology in contrast-enhanced ultrasound for liver lesion assessment
| Term | Definition | CEUS application |
| CNN | Deep learning model using convolutional layers to extract image features | Lesion detection, classification, segmentation |
| Radiomics | Extraction of quantitative handcrafted features from medical images | Supports AI-based lesion characterization |
| Ultrasomics | Radiomics applied specifically to ultrasound images | CEUS feature analysis for HCC risk stratification |
| Transformers | AI models using self-attention to learn feature relationships | Modeling CEUS video sequences for enhancement pattern recognition |
- Citation: Ciocalteu A, Urhut CM, Streba CT, Kamal A, Mamuleanu M, Sandulescu LD. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. World J Gastroenterol 2025; 31(42): 112196
- URL: https://www.wjgnet.com/1007-9327/full/v31/i42/112196.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i42.112196