Tamar Hayuni
Papers
1
Total Citations
2
H-Index
1
About
Tamar Hayuni is a researcher at the forefront of medical robotics and haptic feedback systems, with a primary focus on enhancing the safety and precision of epidural analgesia. Her work addresses a critical challenge in anesthesiology: the accurate identification of the epidural space during needle insertion, a procedure traditionally reliant on the clinician’s tactile sense. Hayuni’s major contribution lies in the development and validation of Loss of Resistance (LOR) syringe probes, which aim to reduce human error in this high-stakes technique. Her most-cited paper, "Using LOR Syringe Probes as a Method to Reduce Errors in Epidural Analgesia - a Robotic Simulation Study" (2023), demonstrates through robotic simulation how these probes can improve accuracy and consistency, offering a promising path toward safer, more reliable regional anesthesia. While her citation count is currently modest at 2, the novelty and practical implications of her research signal strong potential for future impact in both clinical anesthesiology and medical device innovation. Hayuni’s work bridges engineering and medicine, making her a notable emerging voice in the field of haptic-assisted medical procedures.
Research Focus
Key Achievements
Top Papers
- 1