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Exploring the Current Applications of Artificial Intelligence in Orthopaedic Surgical Training: A Systematic Scoping
Ahmed Al-Saadawi1, Sam Tehranchi1, Syed Ahmed2
1School of Medicine and Dentistry, Queen Mary University of London, London, GBR.
Cureus
|May 5, 2025
Summary
Artificial intelligence (AI) shows promise in enhancing orthopaedic surgical training by refining skills and knowledge. However, current evidence is limited, necessitating further research to confirm AI
Area of Science:
- Orthopaedic Surgery
- Medical Education
- Artificial Intelligence
Background:
- Artificial intelligence (AI) integration in surgical education is increasing.
- Orthopaedic training presents unique educational challenges.
- AI applications in this specific field require focused investigation.
Purpose of the Study:
- To systematically review AI applications exclusively within orthopaedic surgical training.
- To identify current trends and themes in AI-assisted orthopaedic education.
- To assess the existing evidence base for AI in this specialty.
Main Methods:
- Systematic scoping review of four major databases (Embase, CENTRAL, Medline, Scopus).
- Inclusion of original research articles utilizing AI in orthopaedic educational contexts.
- Thematic analysis and descriptive summarization of extracted data.
Main Results:
- 21 studies involving 273 participants were included, predominantly published in the last five years.
- Two key themes emerged: refinement of surgical competencies and enhancement of knowledge acquisition.
- Large language models were the most common AI type; personalized automated feedback showed promise.
Conclusions:
- AI has significant potential to transform orthopaedic surgical training.
- Current evidence supporting AI's efficacy in this domain is limited.
- Further high-quality research, including randomized controlled trials, is needed to strengthen the evidence base.
