Artificial Intelligence-Guided Bronchoscopy is Superior to Human Expert Instruction for the Performance of Critical-Care Physicians: A Randomized Controlled Trial
Training using an AI system resulted in faster and more efficient bronchoscopy performance by critical-care physicians when compared to expert human tutor instruction. This could change the future of bronchoscopy training in critical care and warrants validation in patients through clinical studies.
Authors
- Lars Konge (ORCID: https://orcid.org/0000-0002-1258-5822)
- Kristoffer Mazanti Cold (ORCID: https://orcid.org/0000-0001-7715-4073)
- Sundeep Kaul
- Suveer Singh (ORCID: https://orcid.org/0000-0003-3219-8966)
- Kaladerhan Agbontaen (ORCID: https://orcid.org/0000-0002-5571-230X)
- Hatem Soliman-Aboumarie (ORCID: https://orcid.org/0000-0002-3254-6820)
- David R. Woods
- Vimal Grover
Institutions
- University of Copenhagen (DK)
- Royal Marsden NHS Foundation Trust (GB)
- Chelsea and Westminster Hospital NHS Foundation Trust (GB)
- Hammersmith Hospital (GB)
- Harefield Hospital (GB)
- Copenhagen Academy for Medical Education and Simulation (DK)
- Royal Marsden Hospital (GB)
- St. Thomas Hospital (CA)
- Imperial College London (GB)
Publication Details
- Journal
- Critical Care Medicine
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1097/ccm.0000000000006629
- Citations
- 13
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 24.08