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AIBAN-AI Bronchial Detection and Airway Navigation System.

Bruno Oliveira1, Zhuoqi Cheng1, Laura H Guldbrøn1

  • 1The Maersk Mc-Kinney Moller Institute, SDU Robotics University of Southern Denmark, Odense, Denmark.

Journal of Bronchology & Interventional Pulmonology
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

An AI Bronchial detection and Airway Navigation system (AIBAN) improves bronchoscopy accuracy. This AI tool provides real-time navigation guidance, enhancing precision and safety in complex lung anatomy.

Keywords:
artificial intelligenceautonomyflexible bronchoscopynavigationsimulation

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Medicine
  • Pulmonology

Background:

  • Accurate navigation in the lungs is crucial for bronchoscopy but challenging due to complex airway anatomy.
  • Artificial intelligence (AI) offers potential to improve precision and safety through real-time landmark detection and navigation guidance.

Purpose of the Study:

  • To develop and evaluate an AI system for enhanced bronchoscopy navigation.
  • To assess the system's accuracy in airway detection, localization, and guidance.

Main Methods:

  • Developed an AI Bronchial detection and Airway Navigation (AIBAN) system integrating airway lumen detection, anatomic localization, and navigation guidance.
  • Utilized a YOLOv8-based module for real-time landmark detection and a hierarchical anatomic graph for bronchoscope localization.
  • Implemented a navigation module to recommend airway pathways and provide directional cues.

Main Results:

  • The AIBAN system achieved 91.1% accuracy in identifying the bronchoscope's location.
  • 92.6% of predictions were within one airway branch, and 94.5% within two branches of the true location.
  • The navigation guidance correctly followed the anatomic pathway in 96.2% of test videos.

Conclusions:

  • AIBAN enables accurate airway detection, localization, and navigation guidance in a simulated setting.
  • The system provides reliable guidance and precise spatial positioning, showing promise for medical training.
  • AIBAN has potential for future clinical implementation in bronchoscopy procedures.