Digital biopsy for liver diseases： A review of technological advances and application prospects
- VernacularTitle:肝病数字活检的关键技术与应用前景
- Author:
Yang ZHOU
1
;
Zhenwei CHEN
2
;
Hanying SHI
3
;
Kongying LIN
4
;
Yingchao WANG
1
;
Yongyi ZENG
4
Author Information
- Publication Type:Journal Article
- Keywords: Liver Disease Digital Biopsy Platform; Artificial Intelligence; Databases
- From: Journal of Clinical Hepatology 2025;41(11):2207-2212
- CountryChina
- Language:Chinese
- Abstract: Digital biopsy for liver diseases is characterized by the deep integration of artificial intelligence （AI） technologies and large-scale liver disease data， through which intelligent analytics are applied to support clinical decision-making and full-cycle management. This article reviews the AI technical framework based on standardized data governance and centered on multimodal large medical models， covering the application of natural language processing， knowledge map， generative AI， and large language models in the establishment of databases for specialty diseases， diagnosis， prognosis prediction， treatment， and automated medical documentation. This article also discusses the application prospects of this framework in medical education， scientific research， and healthcare management. Although this technique shows broad application potential， it still faces challenges in areas such as multi-center data integration， model interpretability， ethics， and data security. In the future， a smart ecosystem with closed-loop optimization and human-AI collaboration should be established to promote the comprehensive implementation of digital biopsy in the whole process of medicine， education， research， and management， thereby providing help for the precise prevention and control and holistic health management of liver diseases.
