The global research of artificial intelligence on inflammatory bowel disease: A bibliometric analysis
This study is the first bibliometric analysis to summarize the current status and to visually reveal the development trends and future research hotspots of the application of AI in IBD. The application of AI in IBD is still in its infancy, and the focus of this field will shift to improving the efficiency of diagnosis and treatment through deep learning techniques, big data-based treatment, and prognosis prediction.
Authors
- Suqi Zeng (ORCID: https://orcid.org/0000-0001-5033-9625)
- Jiaming Hu (ORCID: https://orcid.org/0009-0005-6489-7923)
- Chenyu Dong
- Junhai Zhen
- Pu Yu (ORCID: https://orcid.org/0000-0002-5513-7632)
- Weiguo Dong (ORCID: https://orcid.org/0000-0002-4228-6508)
- Chuan Liu (ORCID: https://orcid.org/0000-0002-7711-9785)
Institutions
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/20552076251326217
- Citations
- 3
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 5.45
Funders
- National Natural Science Foundation of China