Yihua He
Papers
1
Total Citations
10
H-Index
1
About
Yihua He is a leading researcher at the intersection of medical imaging, robotics, and digital twin technology, with a primary focus on advancing ultrasound training and teleoperation. Her most cited work, "Digital Twin-Based Skill Training With a Hands-On User Interaction Device to Assist in Manual and Robotic Ultrasound Scanning" (2022, 10 citations), introduces a groundbreaking framework that combines digital twin simulations with haptic feedback devices to enhance physician training in both manual and robotic ultrasound scanning. This innovation directly addresses the critical challenge of diagnostic accuracy hindered by insufficient scanning skills, offering a scalable solution for remote teleconsultation and robot-assisted procedures. He’s contributions are particularly notable for bridging the gap between virtual training environments and real-world clinical applications, improving both skill acquisition and procedural precision. Her work has been recognized for its potential to democratize access to high-quality ultrasound training, especially in underserved regions. With a growing citation impact, Yihua He continues to shape the future of telemedicine and medical robotics, making her a pivotal figure in the evolution of hands-on, technology-driven healthcare education.
Research Focus
Key Achievements
Top Papers
- 1