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Updated: Sep 20, 2025

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

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Published on: June 23, 2023

Artificial intelligence in bronchoscopy: a systematic review.

Kristoffer Mazanti Cold^1,2, Anishan Vamadevan³, Christian B Laursen^4,5

¹Copenhagen Academy for Medical Education and Simulation (CAMES), Center for HR & Education, The Capital Region of Denmark, Copenhagen, Denmark kristoffer.mazanti.cold.01@regionh.dk.

European Respiratory Review : an Official Journal of the European Respiratory Society

|May 28, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) in bronchoscopy shows promise, with studies indicating AI can match or exceed human performance in navigation and nodule detection. Further research is needed to confirm clinical impact.

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Area of Science:

Pulmonology
Medical Imaging
Artificial Intelligence

Background:

Artificial intelligence (AI) is enhancing diagnostic capabilities and operator skills in endoscopy.
Emerging AI systems are now being developed for bronchoscopy procedures.
This review identifies and describes current AI applications in bronchoscopy.

Conclusions:

20 AI systems for bronchoscopy were developed, with only 4 implementation studies.
AI demonstrated potential in airway navigation, matching or exceeding human performance in simulated settings.
Further implementation studies are crucial to determine the clinical efficacy of AI in bronchoscopy.