Sami I. Bashour

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About

Sami I. Bashour is a rising leader in interventional pulmonology and thoracic oncology, whose work focuses on advancing bronchoscopic techniques for diagnosing peripheral lung nodules. His primary research areas include shape-sensing robotic-assisted bronchoscopy, cone-beam computed tomography (CBCT) guidance, and strategies to overcome computed tomography-to-body divergence (CTBD)—a critical barrier to accurate lung nodule sampling. Bashour’s major contribution lies in demonstrating how mobile CBCT guidance can significantly improve diagnostic outcomes by correcting for CTBD in real time, a finding published in his 2024 paper, which has already garnered 21 citations. This work has practical implications for reducing procedural failures and enhancing the precision of minimally invasive lung cancer diagnostics. Beyond this, his research is shaping best practices in robotic bronchoscopy, a field rapidly evolving to meet the demands of early cancer detection. Bashour’s achievements reflect a commitment to translating technological innovations into tangible clinical benefits, making him a notable figure for students and researchers interested in the intersection of imaging, robotics, and pulmonary medicine.