Decade-long insights into AI for orthopedic rehabilitation mapping research networks and future trajectories

Identified hotspots and emerging trends offer guidance for future investigations, despite limitations related to database and language scope. This bibliometric analysis provides a foundation for deeper AI integration in orthopedic rehabilitation.

Authors

Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251397432
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Decade-long insights into AI for orthopedic rehabilitation mapping research networks and future trajectories

Fanfu Fang, Ying Li, Jun-Fu Huang
Digital Health
Artificial Intelligence in Healthcare and Education
article

Decade-long insights into AI for orthopedic rehabilitation mapping research networks and future trajectories

Fanfu Fang, Ying Li, Jun-Fu Huang
article en

Abstract

Identified hotspots and emerging trends offer guidance for future investigations, despite limitations related to database and language scope. This bibliometric analysis provides a foundation for deeper AI integration in orthopedic rehabilitation.

Digital HealthVol. 11
Openalex Percentile: Top 72%
Artificial Intelligence in Healthcare and Education
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Decade-long insights into AI for orthopedic rehabilitation mapping research networks and future trajectories — Fanfu Fang, Ying Li, et al. · Digital Health (2025) | TGRS Research Map | TGRS