Bolin Lai
Papers
2
Total Citations
12
H-Index
2
About
Bolin Lai is a researcher advancing the field of medical robotics, with a primary focus on autonomous venipuncture systems. His work bridges computer vision, ultrasound imaging, and robotic manipulation to automate one of the most common yet challenging clinical procedures—drawing blood or inserting intravenous lines. Lai’s major contributions include the development of semi-supervised vein segmentation algorithms for ultrasound images, which enable robotic systems to identify and target veins without requiring large labeled datasets. His paper “Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture” (2021) has garnered 9 citations, reflecting its impact on the field. Additionally, Lai introduced VeniBot, a compact robotic system that uses near-infrared (NIR) imaging to automatically regress puncture areas and angles, as detailed in his 2021 paper with 3 citations. This work addresses a critical gap in clinical automation, as existing robotic venipuncture systems often fail to meet practical usability standards. Lai’s research is notable for its integration of novel hardware and software, aiming to reduce reliance on professional assistance and improve procedural efficiency. His efforts contribute to a future where autonomous medical robots enhance patient care and clinician workflow.
Research Focus
Key Achievements
Top Papers
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