Kye‐Hyung Kim

Papers

Total Citations

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About

Kye-Hyung Kim is a pioneering researcher at the intersection of healthcare robotics and human-robot interaction (HRI), with a particular focus on transforming spinal care and nursing practice. Their major contribution lies in critically evaluating how social and medical service robots can be integrated into clinical environments—from negative-pressure isolation wards to general hospital settings. In their highly cited 2024 work on healthcare robotics for spinal care (21 citations), Kim outlines a visionary framework for how humanoid and socially interactive robots could revolutionize patient rehabilitation and surgical assistance. Complementing this, their cross-sectional survey on nurses' perceptions of medical service robots (2 citations) provides essential empirical evidence on workforce readiness, revealing key insights into how robotic systems can alleviate workload burdens during crises like the COVID-19 pandemic. By bridging technological innovation with frontline clinical realities, Kim’s research offers a balanced, human-centered perspective on automation in medicine. Their work is indispensable for students and researchers exploring the practical deployment of AI-driven robots in healthcare, demonstrating both the promise and the perceptual challenges that must be addressed for successful adoption.