Artificial intelligence for automatic and objective assessment of competencies in flexible bronchoscopy
The study provides initial validity evidence for AI-based immediate and automatic assessment of anatomical and navigational competencies in flexible bronchoscopy. SP provided stronger correlations with human experts' ratings than the traditional DC.
Authors
- Lars Konge (ORCID: https://orcid.org/0000-0002-1258-5822)
- Kristoffer Mazanti Cold (ORCID: https://orcid.org/0000-0001-7715-4073)
- Suveer Singh (ORCID: https://orcid.org/0000-0003-3219-8966)
- Kaladerhan Agbontaen (ORCID: https://orcid.org/0000-0002-5571-230X)
- Anne Orholm Nielsen (ORCID: https://orcid.org/0000-0001-6529-0211)
- Christian Andersen
Institutions
- Queen Charlotte's and Chelsea Hospital (GB)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2024-09-01
- DOI
- https://doi.org/10.21037/jtd-24-841
- Citations
- 16
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.70