Application of artificial intelligence in postoperative orthopedic rehabilitation: a scoping review
This review highlights that, despite rapid technological progress, AI in postoperative orthopedic rehabilitation remains largely predictive rather than interventional. The novelty of this review lies in its stage-oriented synthesis of AI applications across the rehabilitation continuum, revealing a critical gap between data-driven prediction and clinically actionable rehabilitation support. Future research should prioritize high-quality, longitudinal studies and shift toward AI-enabled preventive and adaptive rehabilitation strategies to facilitate meaningful clinical translation.
Authors
- J Wang (ORCID: https://orcid.org/0009-0009-3758-0460)
- Hai Xu
- Huihui Bi
- Qiao He
- Yanru Wang (ORCID: https://orcid.org/0000-0001-8272-2450)
- Qiong Zhang
- Yixin Song
- Shenjie Zhong
Institutions
- Zhejiang Chinese Medical University (CN)
- Hangzhou Normal University (CN)
- Zhejiang Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-01-14
- DOI
- https://doi.org/10.3389/fdgth.2025.1746552
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00