Emerging trends in Alzheimer's disease diagnosis and prediction using artificial intelligence: A bibliometric analysis of the top cited 100 articles
AI-based technologies for AD diagnosis and prediction are becoming indispensable clinical tools. Future research should leverage AI to identify novel AD biomarkers, enabling precision diagnosis and treatment. However, our bibliometric analysis has limitations: language and citation biases may skew interpretation of emerging AI-AD trends.
Authors
- Ziyue Wang
- Wei Qi Yan (ORCID: https://orcid.org/0009-0006-5891-9919)
- Haoteng Ma
- Weijie Zhao (ORCID: https://orcid.org/0000-0002-3341-9620)
- Jing Teng (ORCID: https://orcid.org/0000-0001-8514-4406)
- Guangheng Zhang (ORCID: https://orcid.org/0009-0008-3984-4610)
- Yunhao Yi
- Yitong Lu
- Shimeng Lv
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251362098
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 2.94