Mastery learning guided by AI is superior to directed self-regulated learning in flexible bronchoscopy training – an RCT.

Simulation-based training has proven effective for learning flexible bronchoscopy. However, no studies have tested the efficacy of training toward established proficiency criteria, i.e., mastery learning (ML). We wish to test the effectiveness of ML compared to directed self-regulated learning (DSRL) on novice bronchoscopists' end-of-training performance.