Artificial Intelligence and Surgical Education in the UK: A Systematic Review of Current Use, Evidence Gaps and Future Directions

AI use in UK surgical training is emerging but currently driven largely by pilot studies and policy direction rather than high-quality outcome evidence. Major gaps include multi-centre validation, curriculum integration, standardised assessment frameworks, and equitable access to AI-enabled systems. Future UK research should prioritise structured validation studies and national coordination to define effective, scalable, and safe AI tools that can enhance surgical education across the NHS.

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Publication Details

Journal
Cureus
Published
2025-12-01
DOI
https://doi.org/10.7759/cureus.98231
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Surgical Education in the UK: A Systematic Review of Current Use, Evidence Gaps and Future Directions

James J. Miller, Ranj Bhakar, Amelia Simenacz
Cureus
Surgical Simulation and Training
article

Artificial Intelligence and Surgical Education in the UK: A Systematic Review of Current Use, Evidence Gaps and Future Directions

James J. Miller, Ranj Bhakar, Amelia Simenacz
article en

Abstract

AI use in UK surgical training is emerging but currently driven largely by pilot studies and policy direction rather than high-quality outcome evidence. Major gaps include multi-centre validation, curriculum integration, standardised assessment frameworks, and equitable access to AI-enabled systems. Future UK research should prioritise structured validation studies and national coordination to define effective, scalable, and safe AI tools that can enhance surgical education across the NHS.

CureusVol. 17(12)
The Royal Free Hospital (GB), Torbay Hospital (GB), Torbay and South Devon NHS Foundation Trust (GB), University College London (GB)
Openalex Percentile: Top 43%
Surgical Simulation and Training
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