Papers
8
Total Citations
357
H-Index
6
About
Timothy J. Maguire is a pioneering biomedical engineer whose research sits at the intersection of medical robotics, computer vision, and autonomous clinical systems. He is best known for his groundbreaking work on robotic venipuncture — the automated performance of one of medicine's most ubiquitous yet failure-prone procedures. Recognizing that manual blood draws are the leading cause of hospital injury and are heavily dependent on clinician skill, Maguire developed a series of increasingly sophisticated robotic systems capable of autonomously locating and accessing peripheral veins with high precision. His contributions span multi-modal imaging integration — combining near-infrared stereo vision, ultrasound, and force feedback — to guide needle insertion in real time, even when veins roll or deform. His 2020 paper applying deep learning to autonomous vascular access has garnered 146 citations, reflecting the field's rapid embrace of AI-driven guidance. Earlier systems, including his 7-DOF and 9-DOF venipuncture robots, demonstrated adaptive kinematic control and real-time needle steering, accumulating over 150 additional citations collectively. Maguire has also extended this technology to point-of-care diagnostics and preclinical rodent models, underscoring the translational breadth of his vision for fully automated, end-to-end blood testing infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Deep learning robotic guidance for autonomous vascular access146 citations · 2020
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- 3The System Design and Evaluation of a 7-DOF Image-Guided Venipuncture Robot52 citations · 2015
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