TY - JOUR
T1 - Simulation-based training intervention using artificial intelligence to improve clinical bronchoscopy performance
T2 - a pre-postintervention study
AU - Cold, Kristoffer M
AU - Arshad, Arman
AU - Kildegaard, Christian
AU - Laursen, Christian B
AU - Konge, Lars
AU - Nielsen, Anders B
N1 - © Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
PY - 2025/12/31
Y1 - 2025/12/31
N2 - OBJECTIVES: Does a simulation-based training intervention with an artificial intelligence (AI) navigation system improve their clinical bronchoscopy performance? And can the AIs outcome measures be used to evaluate clinical performance?DESIGN: Pre-postintervention study.SETTING: Odense University Hospital of Southern Denmark, pulmonary endoscopy suite.PARTICIPANTS: Nine bronchoscopists (4 experienced, >500 bronchoscopies and 5 intermediates, 10-500 bronchoscopies).PRIMARY OUTCOME MEASURES: Diagnostic completeness (DC), structured progress (SP), procedure time (PT) and procedure efficiency (DC/PT).RESULTS: The primary outcome measures showed no statistically significant difference between the pre- and postintervention bronchoscopies DC: 53% versus 59%, p=0.16, SP: 29% versus 32%, p=0.35 and PT: 219 s versus 181 s, p=0.22. The experienced outperformed the intermediates regarding DC: 73% versus 43%, p<0.001, SP: 47% versus 13%, p<0.001 and procedure efficiency: 533 s/full inspection versus 274 s/full inspection, p<0.001 but not on PT: 189 s versus 208 s, p=0.53).CONCLUSIONS: DC, SP and PT showed no statistically significant difference after a simulation-based training intervention. DC, SP and procedure efficiency differentiated between experienced and intermediate bronchoscopists and can be used to evaluate clinical bronchoscopy performance.
AB - OBJECTIVES: Does a simulation-based training intervention with an artificial intelligence (AI) navigation system improve their clinical bronchoscopy performance? And can the AIs outcome measures be used to evaluate clinical performance?DESIGN: Pre-postintervention study.SETTING: Odense University Hospital of Southern Denmark, pulmonary endoscopy suite.PARTICIPANTS: Nine bronchoscopists (4 experienced, >500 bronchoscopies and 5 intermediates, 10-500 bronchoscopies).PRIMARY OUTCOME MEASURES: Diagnostic completeness (DC), structured progress (SP), procedure time (PT) and procedure efficiency (DC/PT).RESULTS: The primary outcome measures showed no statistically significant difference between the pre- and postintervention bronchoscopies DC: 53% versus 59%, p=0.16, SP: 29% versus 32%, p=0.35 and PT: 219 s versus 181 s, p=0.22. The experienced outperformed the intermediates regarding DC: 73% versus 43%, p<0.001, SP: 47% versus 13%, p<0.001 and procedure efficiency: 533 s/full inspection versus 274 s/full inspection, p<0.001 but not on PT: 189 s versus 208 s, p=0.53).CONCLUSIONS: DC, SP and PT showed no statistically significant difference after a simulation-based training intervention. DC, SP and procedure efficiency differentiated between experienced and intermediate bronchoscopists and can be used to evaluate clinical bronchoscopy performance.
KW - Humans
KW - Bronchoscopy/education
KW - Artificial Intelligence
KW - Clinical Competence
KW - Simulation Training/methods
KW - Denmark
KW - Male
KW - Female
U2 - 10.1136/bmjopen-2025-109756
DO - 10.1136/bmjopen-2025-109756
M3 - Journal article
C2 - 41475805
SN - 2044-6055
VL - 15
SP - e109756
JO - BMJ Open
JF - BMJ Open
IS - 12
M1 - e109756
ER -