AI-Based Feedback Enhances Training of Novice Bronchoscopists
A recent study published in CHEST by Kristoffer M C and colleagues has introduced an innovative artificial intelligence (AI) system designed to aid in training novice bronchoscopists. This AI-based automatic bronchial segment identification system provides feedback to trainees and aims to improve their performance in flexible bronchoscopy.
Conducted as a randomized controlled trial within a standardized simulated setting, this study enlisted participants with no prior bronchoscopy experience. Novices practised on a mannequin, with the trial divided into two groups: the feedback group (FG) and the control group (CG). The FG, consisting of 10 participants, received real-time feedback from the AI system, while the CG, also comprising 10 participants, followed written instructions for training. The participants independently decided when to conclude their training and transition to performing a full bronchoscopy without assistance.
The results of the study showcased the remarkable impact of AI-based feedback on novice bronchoscopists' performance. The feedback group outperformed the control group across three crucial outcome measures:
● The FG demonstrated a significant improvement, completing 3.5 more bronchial segments than the CG.
● Trainees in the FG showed a remarkable improvement of 13.5 correct progressions compared to the CG.
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