Justin Garner

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About

Justin Garner is a rising leader in interventional pulmonology, whose work centers on advancing the precision and safety of minimally invasive lung cancer diagnostics. His primary research focuses on shape-sensing robotic-assisted bronchoscopy (ssRAB) and its integration with cone beam CT (CBCT) for sampling peripheral pulmonary nodules. Garner’s major contribution lies in rigorously evaluating how real-time imaging feedback can improve lesion verification and diagnostic yield, particularly for small nodules and those located near the pleura or fissures—historically challenging targets. His 2025 study on this topic, already accumulating citations, provides critical evidence that ssRAB with CBCT achieves high diagnostic accuracy while maintaining a strong safety profile. This work directly informs clinical protocols and device refinement, helping to reduce the need for more invasive surgical biopsies. Garner’s research is shaping the next generation of bronchoscopic navigation, offering patients a safer, more effective path to early lung cancer detection. His growing citation count reflects the immediate relevance of his findings to both practitioners and device developers, marking him as a key voice in the evolution of robotic bronchoscopy.