Papers
11
Total Citations
445
H-Index
9
About
Max L. Balter is a pioneering biomedical engineer whose research sits at the intersection of medical robotics, computer vision, and point-of-care diagnostics, with a particular focus on revolutionizing vascular access procedures. His body of work addresses one of medicine's most fundamental yet persistently challenging tasks: venipuncture and peripheral catheterization, which together represent the most common invasive procedures performed in clinical settings worldwide. Balter's contributions span the full arc of robotic venipuncture development — from early multi-degree-of-freedom image-guided systems to first-in-human clinical evaluations. His 2020 paper on deep learning-guided autonomous vascular access has garnered 146 citations, reflecting its significance in applying modern artificial intelligence to bedside robotics. Earlier foundational work, including a 7-DOF venipuncture robot (2015, 52 citations) and adaptive kinematic control using stereo vision and ultrasound (2016, 72 citations), established key technical frameworks still referenced widely today. Notably, his 2019 first-in-human study demonstrated real-world clinical viability of handheld automated blood draw devices, a landmark translational milestone. Balter has also extended this work into automated end-to-end blood testing and preclinical rodent models, illustrating the remarkable breadth and practical ambition of his research program.
Research Focus
Key Achievements
Top Papers
- 1Deep learning robotic guidance for autonomous vascular access146 citations · 2020
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- 4The System Design and Evaluation of a 7-DOF Image-Guided Venipuncture Robot52 citations · 2015
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