Research Progress in Artificial Intelligence for Diagnosis， Prediction of Recurrence and Prognosis in Hepatocellular Carcinoma
10.13471/j.cnki.j.sun.yat-sen.univ（med.sci）.2023.0602
- VernacularTitle:人工智能技术在肝细胞癌诊断、复发及预后预测研究进展
- Author:
Zhao-rui CHENG
1
;
Tong WANG
1
Author Information
1. Emergency Department， The Eighth Affiliated Hospital， Sun Yat-sen University， Shenzhen 518033， China
- Publication Type:Review
- Keywords:
artificial intelligence;
technology;
hepatocellular carcinoma;
radiomics;
histopathology;
diagnosis;
prediction
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2023;44(6):903-909
- CountryChina
- Language:Chinese
-
Abstract:
With the rapid development of artificial intelligence （AI） technology in the field of medicine， AI models show great potential in the diagnosis， prognosis and efficacy prediction of hepatocellular carcinoma （HCC）. AI techniques include computational search algorithms， machine learning （ML） and deep learning （DL） models. Based on histopathology， radiomics and related molecular markers， the ML or DL algorithm is used to extract key information and then establish the diagnosis or prediction model， which may serve as a tool to aid in clinical decision-making. Further technical support， large-scale clinical validation and regulatory approvals are still needed due to the limitations on the application of AI models. This review summarizes the advances of AI in HC diagnosis， prediction of recurrence and prognosis， and highlights the radiomics， histopathology and molecular marker data.
