I‐Hsin Lin

Papers

Total Citations

201

H-Index

About

I-Hsin Lin is a leading researcher in interventional pulmonology, whose work centers on advancing the precision of robotic-assisted bronchoscopy for diagnosing peripheral lung lesions. Her major contributions focus on integrating shape-sensing technology with mobile cone-beam computed tomography (mCBCT) to improve the tool–lesion relationship during minimally invasive procedures. Her most-cited paper, “Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions” (2021), has garnered 183 citations, establishing a foundational benchmark for the field. In her subsequent study (2024), she demonstrated that adding mCBCT to shape-sensing robotic-assisted bronchoscopy significantly enhances navigational accuracy, a critical step toward reducing diagnostic uncertainty. With over 200 total citations, Lin’s work directly addresses a key clinical challenge: achieving reliable tissue sampling in small, hard-to-reach lung nodules. Her research not only validates emerging technologies but also provides quantifiable evidence of their incremental benefit, influencing both procedural protocols and device development. For students and researchers, Lin’s trajectory exemplifies how rigorous, outcome-driven studies can translate cutting-edge engineering into tangible improvements in patient care.