Innovations in Robotic-Assisted Bronchoscopy: Current Trends and Future Prospects

Robotic-assisted bronchoscopy (RAB) represents a significant technological advance, providing superior precision, enhanced visualization, and increased maneuverability relative to conventional bronchoscopic methods. This review provides an overview of current research evaluating RAB's diagnostic performance and exploring future prospects. Recent literature demonstrates advantages in navigating difficult-to-reach lung lesions with improved safety profiles compared to transthoracic approaches. Incorporating advanced imaging technologies has enhanced real-time decision-making during procedures, and artificial intelligence applications are emerging. RAB has been rapidly adopted at many high-volume centers based on favorable navigational success and safety data. As the field matures, ongoing prospective studies will further define its role in improving patient outcomes, cost-effectiveness, and optimal integration with lung cancer screening programs. RAB faces ongoing challenges including substantial capital costs, training requirements, and need for standardized protocols. Therapeutic applications show promise and are under active investigation.

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Publication Details

Journal
Diagnostics
Published
2026-03-11
DOI
https://doi.org/10.3390/diagnostics16060832
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovations in Robotic-Assisted Bronchoscopy: Current Trends and Future Prospects

S. Michael Goertzen, Brian D. Tran, Robert F. Browning, Joshua M. Boster
Diagnostics
Lung Cancer Diagnosis and Treatment
article

Innovations in Robotic-Assisted Bronchoscopy: Current Trends and Future Prospects

S. Michael Goertzen, Brian D. Tran, Robert F. Browning, Joshua M. Boster
article en

Abstract

Robotic-assisted bronchoscopy (RAB) represents a significant technological advance, providing superior precision, enhanced visualization, and increased maneuverability relative to conventional bronchoscopic methods. This review provides an overview of current research evaluating RAB's diagnostic performance and exploring future prospects. Recent literature demonstrates advantages in navigating difficult-to-reach lung lesions with improved safety profiles compared to transthoracic approaches. Incorporating advanced imaging technologies has enhanced real-time decision-making during procedures, and artificial intelligence applications are emerging. RAB has been rapidly adopted at many high-volume centers based on favorable navigational success and safety data. As the field matures, ongoing prospective studies will further define its role in improving patient outcomes, cost-effectiveness, and optimal integration with lung cancer screening programs. RAB faces ongoing challenges including substantial capital costs, training requirements, and need for standardized protocols. Therapeutic applications show promise and are under active investigation.

DiagnosticsVol. 16(6)
Brooke Army Medical Center (US), University of San Diego (US), Walter Reed National Military Medical Center (US), University of California System (US), University of California San Diego (US), Joint Base San Antonio (US)
Openalex Percentile: Top 26%
Lung Cancer Diagnosis and Treatment
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