Robotic Bronchoscopy: Review of Three Systems
Author:
Affiliation:
1. Division of Pulmonary and Critical Care, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
2. Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
Abstract
Publisher
MDPI AG
Subject
Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics
Link
https://www.mdpi.com/2075-1729/13/2/354/pdf
Reference78 articles.
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3. Ekeke, C.N., Vercauteren, M., Istvaniczdravkovic, S., Semaan, R., and Dhupar, R. (2021). Lung Nodule Evaluation Using Robotic-Assisted Bronchoscopy at a Veteran’s Affairs Hospital. J. Clin. Med., 10.
4. Chaddha, U., Kovacs, S.P., Manley, C., Hogarth, D.K., Cumbo-Nacheli, G., Bhavani, S.V., Kumar, R., Shende, M., Egan, J.P., and Murgu, S. (2019). Robot-assisted bronchoscopy for pulmonary lesion diagnosis: Results from the initial multicenter experience. BMC Pulm. Med., 19.
5. Agrawal, A., Ho, E., Chaddha, U., Demirkol, B., Bhavani, S.V., Hogarth, D.K., and Murgu, S. (Ann. Thorac. Surg., 2022). Factors Associated with Diagnostic Accuracy of Robotic Bronchoscopy with 12-Month Follow-up, Ann. Thorac. Surg., Epub ahead of print.
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