Artificial Intelligence-Guided Bronchoscopy is Superior to Human Expert Instruction for the Performance of Critical-Care Physicians: A Randomized Controlled Trial.

Journal: Critical care medicine
PMID: 40111112

Abstract

OBJECTIVES: Bronchoscopy in the mechanically ventilated patient is an important skill for critical-care physicians. However, training opportunity is heterogenous and limited by infrequent caseload or inadequate instructor feedback for satisfactory competencies. A new artificial intelligence (AI) navigational system using augmented reality - the Ambu Broncho Simulator - can guide bronchoscopy training. Is training with the AI system comparable to bedside, expert tutor instruction in improving bronchoscopy performance?

Authors

  • Kaladerhan O Agbontaen
    Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom.
  • Kristoffer M Cold
    Copenhagen Academy for Medical Education and Simulation (CAMES), University of Copenhagen, Copenhagen, Denmark.
  • David Woods
    Hammersmith Hospital, Imperial College NHS Trust, London, United Kingdom.
  • Vimal Grover
    Royal Marsden Hospital NHS Foundation Trust, London, United Kingdom.
  • Hatem Soliman Aboumarie
    Royal Brompton and Harefield Hospitals, Guy's and St Thomas' Hospitals, London, United Kingdom.
  • Sundeep Kaul
    Royal Brompton and Harefield Hospitals, Guy's and St Thomas' Hospitals, London, United Kingdom.
  • Lars Konge
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.
  • Suveer Singh
    Chelsea and Westminster Hospital, Chelsea, London, UK.

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