PDF(772 KB)
Current Application Status and Prospects of Artificial Intelligence in Liver Regeneration Evaluation and Prediction
Xun LI, Xiaojing SONG
PDF(772 KB)
PDF(772 KB)
Current Application Status and Prospects of Artificial Intelligence in Liver Regeneration Evaluation and Prediction
Liver regeneration is a key biological process for the liver to maintain normal physiological function and respond to injury. Accurately evaluating and predicting the state of liver regeneration is of great significance for liver surgery planning, liver disease treatment strategy formulation, and patient prognosis judgment. This article provided a systematic review of the current application status of artificial intelligence (AI) in the field of liver regeneration, covering evaluation methods based on imaging, clinical data, and molecular genomics. It analyzed the challenges currently faced in terms of data quality and algorithm interpretability, and looked forward to the future development prospects of AI under the guidance of multimodal fusion, real-time dynamic monitoring, and personalized medicine, providing reference for promoting innovation in liver regeneration research and clinical practice.
Artificial intelligence / Liver regeneration / Evaluation / Prediction
| 1 |
|
| 2 |
|
| 3 |
|
| 4 |
|
| 5 |
|
| 6 |
|
| 7 |
|
| 8 |
|
| 9 |
|
| 10 |
|
| 11 |
|
| 12 |
|
| 13 |
|
| 14 |
|
| 15 |
黄良江, 毛德文, 郑景辉, 等. 人工智能在肝性脑病风险预测模型中的应用进展[J]. 实用医学杂志, 2024, 40(3): 289-294.
|
| 16 |
|
| 17 |
吴鹏, 高柳村, 汤善宏. 应用人工智能技术诊治肝脏疾病研究进展[J]. 实用肝脏病杂志, 2023, 26(2): 293-296.
|
| 18 |
张波, 张治英, 徐德忠, 等. 人工神经网络肝癌CT影像辅助诊断模型的建立[J]. 实用放射学杂志, 2006(9): 1079-1082.
|
| 19 |
张露, 丛冠宁, 杨小丽, 等. 多肿瘤标志物蛋白质芯片检测系统结合人工智能在肝癌诊断研究中的初步评价[J]. 中国医药导刊, 2003, 5(1): 35-37.
|
| 20 |
陈琦,冯露漪,贺松 等.人工智能技术在影像组学中的应用.数字化用户,2019,25(46):129,135.
|
| 21 |
SON JH,
|
| 22 |
|
| 23 |
|
| 24 |
|
| 25 |
|
| 26 |
|
| 27 |
|
| 28 |
|
| 29 |
冯灿, 李江林, 曹锐, 等. 大鼠2/3肝切除72h后再生肝脏质膜比较蛋白质组学研究[J]. 中国生物化学与分子生物学报, 2012, 28(8): 751-760.
|
| 30 |
|
| 31 |
|
| 32 |
|
| 33 |
|
| 34 |
|
| 35 |
|
| 36 |
|
| 37 |
|
| 38 |
|
| 39 |
|
| 40 |
|
| 41 |
HUR MH,
|
| 42 |
|
| 43 |
张宁, 朱绍成. MRI征象预测肝细胞癌干细胞表型特征的研究进展[J]. 中华放射学杂志, 2024, 58(9): 972-976.
|
| 44 |
|
| 45 |
|
| 46 |
|
| 47 |
吴洪基, 王海霞, 汪玲, 等. 人工智能在类器官研究中的应用进展与挑战[J]. 中国癌症杂志, 2024, 34(2): 210-219.
|
| 48 |
|
| 49 |
|
| 50 |
韦英婷, 覃家盟, 樊金莲, 等. 基于深度学习算法开发和验证的肝细胞癌预后预测模型:一项大样本队列和外部验证研究. 中国癌症防治杂志, 2021, 13(3): 294-300.
|
/
| 〈 |
|
〉 |