Efficacy of a virtual bronchoscopic navigation system improved by deep learning for biopsy of peripheral lung lesions: a single-center randomized controlled trial
The improved SARS-pro system presented a higher diagnostic rate for PPL than the VBN system, which may suggest the application of deep learning technology in improving the diagnostic rate of lung biopsy.
Authors
- Ding Wang (ORCID: https://orcid.org/0000-0002-5238-2309)
- Jisong Zhang
- Chenhui Su
- Riqing Chen (ORCID: https://orcid.org/0000-0001-7828-550X)
- Nanyu Li (ORCID: https://orcid.org/0000-0001-6594-1731)
- Liangliang Dong
- Shan Xu (ORCID: https://orcid.org/0000-0003-2586-6719)
- Enguo Chen (ORCID: https://orcid.org/0000-0003-2338-8610)
- Huihui Hu
Institutions
- Sir Run Run Shaw Hospital (CN)
- Broncus (United States) (US)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1097/js9.0000000000004391
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00