Tetiana Biloborodova

Volodymyr Dahl East Ukrainian National University

Papers

Total Citations

H-Index

About

Tetiana Biloborodova is a researcher advancing the frontier of human-robot interaction in surgical settings, with a primary focus on gesture recognition and predictive modeling for the operating room. Her most cited work, "Surgical Hand Gesture Prediction for the Operating Room" (2020), tackles the critical challenge of enabling contactless, intuitive control of computer-aided devices by anticipating surgeon movements. This research directly supports the development of smart assistive technologies that allow surgeons to navigate and manipulate equipment without breaking sterility or workflow. By modeling and predicting hand gestures, Biloborodova’s work lays essential groundwork for natural, seamless human-robot collaboration during procedures. Her contributions are particularly valuable for enhancing surgical precision, reducing cognitive load, and improving patient outcomes through more responsive assistive systems. While her citation count is still growing, the foundational nature of her work positions it as a key reference for researchers in surgical robotics and human-computer interaction. Biloborodova’s research sits at the intersection of computer vision, machine learning, and medical robotics, offering practical pathways toward safer, more efficient operating rooms.