Papers
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Total Citations
2
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About
Bhavin Soni is a researcher at the intersection of biomedical engineering and surgical data science, with a primary focus on advancing minimally invasive pulmonary interventions. His key research areas include statistical surgical process modeling, performance analysis in bronchoscopy, and the comparative evaluation of emerging technologies for lung cancer diagnosis. Soni’s major contribution lies in developing quantitative frameworks to assess workflow and procedural efficiency in transbronchial biopsy (TBB), a critical technique for diagnosing lung cancer. By modeling performance differences between fluoroscopy with radial probe endobronchial ultrasound (EBUS) and CBCT-guided robot-assisted bronchoscopy (CBCT-Guided RAB), his work provides empirical evidence to guide clinical decision-making and training. His most-cited paper, "Statistical surgical process modeling of performance and workflow in bronchoscopy" (2025), has already garnered 2 citations, signaling early impact in this rapidly evolving field. This work is notable for its rigorous, data-driven approach to comparing traditional and robotic-assisted techniques, offering actionable insights for improving diagnostic accuracy and patient outcomes. Soni’s research is particularly valuable for clinicians, surgical trainees, and medical device developers seeking to optimize procedural workflows in interventional pulmonology.
Research Focus
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Top Papers
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