Papers
1
Total Citations
2
H-Index
1
About
Anshuj Deva is a rising researcher at the intersection of surgical data science, medical robotics, and pulmonary intervention. His work focuses on statistically modeling surgical processes to quantify performance and workflow in bronchoscopy—a critical procedure for lung cancer diagnosis. In his most-cited paper, Deva pioneers a comparative analysis of two major transbronchial biopsy (TBB) approaches: fluoroscopy with radial probe EBUS and CBCT-guided robot-assisted bronchoscopy. By applying statistical process modeling, he provides objective metrics to evaluate procedural efficiency, tool-tissue interaction, and operator skill. This work lays the groundwork for standardizing training and improving outcomes in minimally invasive lung diagnostics. With early citations already accumulating, Deva’s contributions are gaining traction among clinicians and surgical data scientists alike. His research promises to bridge the gap between robotic assistance and evidence-based workflow optimization, positioning him as a key voice in the future of computer-aided intervention and pulmonary medicine.
Research Focus
Key Achievements
Top Papers
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