Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence
10.3969/j.issn.1001-5256.2022.03.006
- VernacularTitle:基于人工智能的肝细胞癌精准影像学诊断和复发预测
- Author:
Yiping LIU
1
;
Xinping LI
1
;
Lei CHEN
2
;
Jinju XIA
1
;
Kairong SONG
1
;
Ningyang JIA
1
;
Wanmin LIU
1
,
3
Author Information
1. Department of Radiology, The Third Affiliated Hospital of Navy Medical University & Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China
2. Shanghai United Imaging Healthcare Co., Ltd., Shanghai 201807, China
3. Department of Radiology, Tongji Hospital Affiliated to Tongji University, Tongji University School of Medicine, Shanghai 200331, China
- Publication Type:Discussions by Experts
- Keywords:
Hepatocellular Carcinoma;
Diagnostic Imaging;
Recurrence;
Forecasting
- From:
Journal of Clinical Hepatology
2022;38(3):521-527
- CountryChina
- Language:Chinese
-
Abstract:
The integration of artificial intelligence into the medical field is developing rapidly and has achieved ground-breaking advances in the diagnosis, treatment, and efficacy evaluation of imaging medicine. This article reviews the research advances in artificial intelligence in imaging diagnosis of hepatocellular carcinoma and its performance in evaluating treatment outcome and predicting prognosis in combination with clinical features and looks forward to how artificial intelligence can be better used in the practice of hepatocellular carcinoma imaging in the era of growing clinical needs and rapid advances in diagnosis and treatment techniques.
