中山大学学报（医学科学版）2023，Vol.44Issue(6)：903-909,7.
人工智能技术在肝细胞癌诊断、复发及预后预测研究进展
Research Progress in Artificial Intelligence for Diagnosis,Prediction of Recurrence and Prognosis in Hepatocellular Carcinoma
摘要
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 histopatholo-gy,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 mod-els.This review summarizes the advances of AI in HC diagnosis,prediction of recurrence and prognosis,and highlights the radiomics,histopathology and molecular marker data.关键词
人工智能/技术/肝细胞癌/影像组学/组织病理学/诊断/预测Key words
artificial intelligence/technology/hepatocellular carcinoma/radiomics/histopathology/diagnosis/prediction分类
医药卫生引用本文复制引用
程兆瑞,王彤..人工智能技术在肝细胞癌诊断、复发及预后预测研究进展[J].中山大学学报（医学科学版）,2023,44(6):903-909,7.基金项目
国家自然科学基金(81070125,81270213,81670306) （81070125,81270213,81670306）
