Artificial intelligence in orthopaedic education, training and research: a systematic review
AI holds considerable potential to advance orthopedic education and research by enabling more efficient, equitable, and personalized training. However, its integration must be guided by rigorous validation, ethical standards, and stakeholder collaboration. Hybrid human-AI training models and standardized evaluation metrics are essential to realizing AI's full potential in orthopedics.
Authors
- Rajan Bhusal (ORCID: https://orcid.org/0000-0002-0808-7476)
- Pramod Yadav (ORCID: https://orcid.org/0000-0003-4990-8020)
- Ashok Kumar Banskota (ORCID: https://orcid.org/0000-0002-5477-4541)
- Bibek Banskota
Institutions
- Agriculture and Forestry University (NP)
- Baidya and Banskota Hospital (NP)
- Hospital and Rehabilitation for Disabled Children (NP)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1186/s12909-025-08162-y
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65