Yingxiang Huo

Peng Cheng Laboratory, South China University of Technology

Papers

Total Citations

H-Index

About

Yingxiang Huo is pioneering the intersection of robotics and medical imaging, with a primary focus on autonomous ultrasound systems for clinical diagnostics. His most impactful work centers on the development of a fully autonomous robotic ultrasound system for thyroid scanning, a breakthrough that addresses the critical dependency on sonographer expertise and the physical and cognitive strain associated with manual procedures. The 2024 paper on this topic has garnered 57 citations, underscoring its significance in the field. Huo’s contributions are transformative: by enabling robots to independently perform thyroid scans, he reduces operator variability and enhances accessibility to high-quality imaging, particularly in resource-limited settings. This innovation not only streamlines clinical workflows but also improves patient outcomes through consistent, reproducible scans. His earlier 2023 paper laid the foundational framework for this autonomous system, demonstrating his sustained commitment to advancing medical robotics. Huo’s work is notable for its practical impact, bridging engineering and healthcare to solve real-world challenges. For students and researchers, his research exemplifies how robotics can augment human capabilities, making specialized medical procedures more efficient and widely available.