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©The Author(s) 2025.
World J Hepatol. Mar 27, 2025; 17(3): 101721
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.101721
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.101721
Table 6 The top 30 keywords with the highest frequency of application of artificial intelligence to liver disease
Rank | Keywords | Count | Rank | Keywords | Count | Rank | Keywords | Count |
1 | Hepatocellular carcinoma | 1023 | 11 | Survival | 206 | 21 | CT | 145 |
2 | Machine learning | 551 | 12 | Model | 202 | 22 | System | 144 |
3 | Deep learning | 393 | 13 | Resection | 200 | 23 | Neural network | 139 |
4 | Cancer | 377 | 14 | Outcome | 195 | 24 | Experience | 133 |
5 | Diagnosis | 310 | 15 | Disease | 190 | 25 | Robotic surgery | 132 |
6 | Classification | 294 | 16 | Expression | 190 | 26 | Liver resection | 124 |
7 | Artificial intelligence | 291 | 17 | Liver | 175 | 27 | Identification | 122 |
8 | Surgery | 235 | 18 | Management | 169 | 28 | Computed tomography | 120 |
9 | Prediction | 219 | 19 | Convolutional neural network | 167 | 29 | Fatty liver disease | 120 |
10 | Risk | 210 | 20 | Cirrhosis | 163 | 30 | Cell | 116 |
- Citation: Zhou XQ, Huang S, Shi XM, Liu S, Zhang W, Shi L, Lv MH, Tang XW. Global trends in artificial intelligence applications in liver disease over seventeen years. World J Hepatol 2025; 17(3): 101721
- URL: https://www.wjgnet.com/1948-5182/full/v17/i3/101721.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i3.101721