Research progress of artificial intelligence basing on ultrasound in diagnosis and treatment of hepatobiliary liver tumors
10.3760/cma.j.cn131148-20250301-00111
- VernacularTitle:人工智能在肝脏肿瘤超声诊断和治疗中的研究进展
- Author:
Jialin ZHU
1
;
Jiayu SU
1
;
Rui SANG
1
;
Bing YUE
1
;
Luchen CHANG
1
;
Ruijing LIU
1
;
Xi WEI
1
Author Information
1. 天津医科大学肿瘤医院超声诊疗科，国家肿瘤临床医学研究中心，天津市肿瘤防治重点实验室，天津市恶性肿瘤临床医学研究中心，天津 300060
- Publication Type:Journal Article
- Keywords:
Ultrasonography;
Artificial intelligence;
Hepatic tumor;
Focal liver lesions;
Deep learning
- From:
Chinese Journal of Ultrasonography
2025;34(9):771-775
- CountryChina
- Language:Chinese
-
Abstract:
Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.
