©The Author(s) 2025.
World J Gastroenterol. Oct 21, 2025; 31(39): 111323
Published online Oct 21, 2025. doi: 10.3748/wjg.v31.i39.111323
Published online Oct 21, 2025. doi: 10.3748/wjg.v31.i39.111323
Figure 1 A conceptual framework showing the interaction between artificial intelligence models and clinical workflows in hepatology.
Real-time processes contents patient monitoring, early warning, and real-time clinical decision support. Offline processes include model training and validation, medical image analysis, omics data analysis, and electronic health record analysis. CT: Computerized tomography; MRI: Magnetic resonance imaging; EHR: Electronic health record; AI: Artificial intelligence; CNN: Convolutional neural network; ViT: Vision transformer; NLP: Natural language processing; HCC: Hepa tocellular carcinoma.
- Citation: Zheng Y, Li H, Wang R, Jiang CS, Zhao YT. Multi-model applications and cutting-edge advancements of artificial intelligence in hepatology in the era of precision medicine. World J Gastroenterol 2025; 31(39): 111323
- URL: https://www.wjgnet.com/1007-9327/full/v31/i39/111323.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i39.111323