Parvathy Pillai
Papers
1
Total Citations
2
H-Index
1
About
Parvathy Pillai is a researcher at the intersection of surgical data science and pulmonary medicine, with a primary focus on modeling and analyzing surgical workflows to improve procedural outcomes. Her key research areas include statistical surgical process modeling, performance assessment in bronchoscopy, and the comparative analysis of advanced interventional techniques for lung cancer diagnosis. In her most cited work, Pillai developed a statistical framework to model performance and workflow in transbronchial biopsy (TBB), comparing fluoroscopy-guided radial probe EBUS with CBCT-guided robot-assisted bronchoscopy. This contribution provides a quantitative basis for understanding procedural efficiency and skill variability, offering valuable insights for training and quality improvement in minimally invasive lung diagnostics. While her citation count is currently modest, the work addresses a critical need for objective, data-driven evaluation in an evolving field. Pillai’s research holds promise for shaping best practices in bronchoscopic interventions, and her methodological approach to surgical process modeling represents a notable step toward integrating computational analysis into clinical workflow assessment.
Research Focus
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Top Papers
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