Simulation-based Bronchoscopy Training
Cross-source consensus on Simulation-based Bronchoscopy Training from 1 sources and 6 claims.
1 sources · 6 claims
Benefits
Risks & contraindications
Comparisons
Evidence quality
Highlighted claims
- Novice bronchoscopists have higher complication rates, cause greater patient discomfort, and yield fewer positive biopsy samples than experienced practitioners. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- The mastery-learning AI simulation training intervention did not produce statistically significant improvements in any primary or secondary outcome measure in intermediate or experienced bronchoscopists. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- Only four studies prior to this one had measured whether simulation skills actually transfer to improved real-world clinical performance. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- Virtual reality simulators and bronchoscopy phantoms have been shown effective for simulation-based training and are potentially superior to traditional clinical apprenticeship. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- Simulation-based training with mastery learning has already proven superior to traditional clinical apprenticeship in EBUS bronchoscopy and surgical procedures such as hernia repair. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study
- A just-in-time simulation format, where bronchoscopists perform a perfect simulated bronchoscopy immediately before each clinical procedure, could substantially increase skill transfer. — Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance: a pre–postintervention study