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Related Experiment Video

Updated: Mar 29, 2026

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
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Innovations in Robotic-Assisted Bronchoscopy: Current Trends and Future Prospects.

Joshua M Boster1, S Michael Goertzen2, Brian D Tran3

  • 1Department of Medicine, Pulmonary Critical Care Medicine, Interventional Pulmonology, Walter Reed National Military Medical Center, Bethesda, MD 20889, USA.

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|March 28, 2026
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Summary
This summary is machine-generated.

Robotic-assisted bronchoscopy (RAB) offers enhanced precision and safety for diagnosing lung lesions. Ongoing research and AI integration promise further improvements in patient outcomes and lung cancer screening.

Keywords:
artificial intelligencebronchoscopycancercone-beam computed tomographyinterventional pulmonologylung diseasesrobotic-assisted bronchoscopy

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Area of Science:

  • Pulmonology
  • Medical Technology
  • Interventional Pulmonology

Background:

  • Conventional bronchoscopy has limitations in reaching peripheral lung lesions.
  • Robotic-assisted bronchoscopy (RAB) offers potential improvements in precision, visualization, and maneuverability.
  • RAB is increasingly adopted in high-volume centers due to promising safety and navigational data.

Purpose of the Study:

  • To review current research on the diagnostic performance of RAB.
  • To explore the future prospects and emerging applications of RAB.
  • To identify challenges and ongoing investigations in the field of RAB.

Main Methods:

  • Systematic review of recent literature on robotic-assisted bronchoscopy.
  • Analysis of studies evaluating diagnostic yield, safety, and navigational success.
  • Examination of emerging technologies and therapeutic applications.

Main Results:

  • RAB demonstrates superior navigation to difficult-to-reach lung lesions with improved safety compared to transthoracic approaches.
  • Advanced imaging and artificial intelligence enhance real-time decision-making during RAB procedures.
  • Favorable navigational success and safety data support rapid adoption of RAB in clinical practice.

Conclusions:

  • RAB shows significant potential in improving lung lesion diagnosis and patient outcomes.
  • Further prospective studies are needed to define RAB's role in cost-effectiveness and lung cancer screening integration.
  • Challenges include costs, training, and standardization, while therapeutic applications are under active investigation.