Knowledge map of artificial intelligence in neurodegenerative diseases: a decade-long bibliometric and visualization study

Based on the relationship between keywords and time, we speculate that there are four possible research trends: 1. Precision diagnosis with multimodal data fusion. 2. Pathological mechanism analysis and target discovery. 3. Interpretable AI and clinical translation. 4. Technology differentiation for subdivided diseases.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2025-05-14
DOI
https://doi.org/10.3389/fnagi.2025.1586282
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Knowledge map of artificial intelligence in neurodegenerative diseases: a decade-long bibliometric and visualization study

Danting Su, Tao Zhang, Shuqi Wang, Rubing Lin et al.
Frontiers in Aging Neuroscience
Artificial Intelligence in Healthcare and Education
article

Knowledge map of artificial intelligence in neurodegenerative diseases: a decade-long bibliometric and visualization study

Danting Su, Tao Zhang, Shuqi Wang, Rubing Lin, L. Zhao, Junwei Huang, X. Liao
article en

Abstract

Based on the relationship between keywords and time, we speculate that there are four possible research trends: 1. Precision diagnosis with multimodal data fusion. 2. Pathological mechanism analysis and target discovery. 3. Interpretable AI and clinical translation. 4. Technology differentiation for subdivided diseases.

Frontiers in Aging NeuroscienceVol. 17
Sun Yat-sen University (CN), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), Affiliated Hospital of North Sichuan Medical College (CN), Qinhuangdao Science and Technology Bureau (CN), Shenzhen Children's Hospital (CN), Northeastern University (CN)
Openalex Percentile: Top 93%
Artificial Intelligence in Healthcare and Education
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