Thomas Neumuth

About

Thomas Neumuth is a leading figure in medical robotics and computer-assisted intervention, with a focus on advancing robotic systems for percutaneous procedures and collaborative human-robot interaction. His work addresses critical challenges in cancer diagnosis and therapy, particularly through the design and validation of robotic devices for ultrasound-guided needle insertions—a key innovation that enhances precision and reduces procedural stress for both physicians and patients. His most-cited paper (2022, 12 citations) demonstrates the potential of dual-robot systems to improve biopsy outcomes, while his research on natural user interfaces (2018, 6 citations) explores ways to increase clinical acceptance of robotic assistance by making systems more intuitive and collaborative. Neumuth’s contributions also extend to comparative studies of laparoscopic versus robot-assisted surgery (2011, 6 citations), providing evidence for the benefits of robotic platforms in pediatric models. With a career spanning image-guided systems and miniaturized therapeutic devices, his work has garnered attention for its practical impact on surgical robotics, laying groundwork for safer, more efficient interventions. Neumuth’s research is essential reading for those interested in the intersection of robotics, imaging, and minimally invasive therapy.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and validation of a medical robotic device system to control two collaborative robots for ultrasound-guided needle insertions

   12 citations · 2022
2. 2
   Laparoscopic versus robot-assisted Nissen fundoplication in an infant pig model

   6 citations · 2011
3. 3
   Assessment of Natural User Interactions for Robot-Assisted Interventions

   6 citations · 2018
4. 4
   Session 8. Image guided, robotic and miniaturised systems for intervention and therapy I

   2 citations · 2017

Key Collaborators

Contact & Links