Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence and Surgical Education in the UK: A Systematic Review of Current Use, Evidence Gaps and Future Directions
0
Zitationen
3
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
The SCARE 2020 Guideline: Updating Consensus Surgical CAse REport (SCARE) Guidelines
2020 · 5.573 Zit.
Virtual Reality Training Improves Operating Room Performance
2002 · 2.792 Zit.
An estimation of the global volume of surgery: a modelling strategy based on available data
2008 · 2.508 Zit.
Objective structured assessment of technical skill (OSATS) for surgical residents
1997 · 2.259 Zit.
Does Simulation-Based Medical Education With Deliberate Practice Yield Better Results Than Traditional Clinical Education? A Meta-Analytic Comparative Review of the Evidence
2011 · 1.710 Zit.