Mastery Learning Guided by Artificial Intelligence Is Superior to Directed Self-Regulated Learning in Flexible Bronchoscopy Training: An RCT
ML is a very efficient training form allowing novice trainees to learn how to perform a thorough, systematic, and quick flexible bronchoscopy. ML does not require longer time spent training compared to DSRL, and we therefore recommend training of future bronchoscopists by this method.
Authors
- Lars Konge (ORCID: https://orcid.org/0000-0002-1258-5822)
- Kristoffer Mazanti Cold (ORCID: https://orcid.org/0000-0001-7715-4073)
- Suveer Singh (ORCID: https://orcid.org/0000-0003-3219-8966)
- Kaladerhan Agbontaen (ORCID: https://orcid.org/0000-0002-5571-230X)
- Wei Wei (ORCID: https://orcid.org/0009-0008-6482-1461)
Institutions
- University of Copenhagen (DK)
- Royal Brompton Hospital (GB)
- Eye & ENT Hospital of Fudan University (CN)
- Chelsea and Westminster Hospital (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Respiration
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1159/000542045
- Citations
- 3
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 1.72