The evolution of artificial intelligence technology in non-alcoholic fatty liver disease
This study comprehensively outlines the development trajectory and knowledge structure of artificial intelligence technology in NAFLD research through systematic bibliometric analysis. The findings suggest that although the field faces challenges such as data standardization and model interpretability, AI technology shows broad prospects in NAFLD disease management and risk prediction. Future research should focus on multimodal data fusion, clinical translation, and evaluation of practical application value to promote the realization of AI-assisted precision medicine for NAFLD. This study not only depicts the current landscape of artificial intelligence applications in NAFLD but also provides a reference basis for future development in this field.
Authors
- Jiawen He (ORCID: https://orcid.org/0009-0006-9661-7380)
- Zhiyong Lin (ORCID: https://orcid.org/0000-0003-3528-3074)
- Yao Wu (ORCID: https://orcid.org/0000-0003-0443-8571)
- Yingying Li (ORCID: https://orcid.org/0000-0002-2939-2779)
- Zhuo Li (ORCID: https://orcid.org/0000-0001-7775-2831)
- Ruyi He (ORCID: https://orcid.org/0000-0002-2016-9781)
Institutions
- Guangdong Medical College (CN)
- Guangdong Pharmaceutical University (CN)
- Guangdong Academy of Medical Sciences (CN)
Publication Details
- Journal
- Frontiers in Radiology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3389/fradi.2025.1634165
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sun Yat-sen University