Artificial intelligence in bronchoscopy: a systematic review.

Journal: European respiratory review : an official journal of the European Respiratory Society
Published Date: May 28, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) systems have been implemented to improve the diagnostic yield and operators' skills within endoscopy. Similar AI systems are now emerging in bronchoscopy. Our objective was to identify and describe AI systems in bronchoscopy.

Authors

  • Kristoffer Mazanti Cold
    Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, Copenhagen, University of Copenhagen and the Capital Region of Denmark; kristoffer.mazanti.cold.01@regionh.dk.
  • Anishan Vamadevan
    Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, Copenhagen, University of Copenhagen and the Capital Region of Denmark.
  • Christian B Laursen
    Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark.
  • Flemming Bjerrum
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.
  • Suveer Singh
    Chelsea and Westminster Hospital, Chelsea, London, UK.
  • Lars Konge
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.

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