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Related Experiment Video

Updated: Jul 18, 2025

Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting

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Artificial Intelligence Improves Novices' Bronchoscopy Performance: A Randomized Controlled Trial in a Simulated

Kristoffer Mazanti Cold¹, Sujun Xie², Anne Orholm Nielsen³

¹Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, University of Copenhagen and the Capital Region of Denmark.

|August 24, 2023

Summary

This summary is machine-generated.

Artificial intelligence (AI) feedback significantly improved novice bronchoscopists’ performance. Trainees using AI achieved more complete, systematic, and faster flexible bronchoscopies compared to traditional methods.

Keywords:

artificial intelligence assessment feedback flexible bronchoscopy simulation

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Area of Science:

Medical Simulation
Artificial Intelligence in Medicine
Respiratory Medicine

Background:

Flexible bronchoscopy training requires navigating the bronchial tree and identifying segments.
A new AI-based system aids trainees in bronchial segment identification.
This system aims to enhance the effectiveness of bronchoscopy training.

Purpose of the Study:

To evaluate if AI-based feedback improves novice bronchoscopists' performance.
To assess the impact of an automatic bronchial segment identification system on training outcomes.

Main Methods:

A randomized controlled trial was conducted in a simulated setting.
Novice bronchoscopists trained on a mannequin, with one group receiving AI feedback and the control group receiving written instructions.
Participants independently determined when to conclude training and perform a full bronchoscopy.

Main Results:

The AI feedback group demonstrated significantly better diagnostic completeness (3.5 segments, P < .001).
Structured progress was significantly higher in the feedback group (13.5 correct progressions, P < .001).
Procedure time was significantly reduced for the AI feedback group (-214 seconds, P = .002).

Conclusions:

AI-guided training enhances novice performance in flexible bronchoscopy, leading to more complete, systematic, and faster procedures.
Further research should explore AI system use in clinical settings and with advanced learners.