Application of artificial intelligence in clinical trials of liver diseases： A methodological perspective
- VernacularTitle:人工智能相关肝病临床试验的方法学考量
- Author:
Lichen SHI
1
;
Ruishi FENG
1
;
Jidong JIA
2
;
Hong YOU
2
;
Yuanyuan KONG
1
Author Information
- Publication Type:Journal Article
- Keywords: Liver Diseases; Clinical Trial; Artificial Intelligence; Methods
- From: Journal of Clinical Hepatology 2025;41(11):2227-2234
- CountryChina
- Language:Chinese
- Abstract: In recent years， the exploration and development of artificial intelligence （AI） technology in clinical trials for liver diseases have promoted the continuous innovation of research methods and processes in this field. AI has gradually become an important technical tool for various links of clinical trial including patient selection， risk stratification， endpoint evaluation， and result interpretation. Nevertheless， the standardized integration of AI into clinical trials still faces the methodological challenges such as data quality control， model interpretability， and causal inference. From the perspective of methodology， this article systematically reviews the principal application scenarios of AI as an object under investigation （validation trials） and as a research tool （supportive trials） in clinical trials for liver diseases， as well as the major methodological challenges of AI-related clinical trials along and the corresponding solution strategies， in order to provide methodological guidance for promoting the scientific and standardized implementation of AI technologies.
