Mei‐Qing Cheng

Sun Yat-sen University

Papers

1

Total Citations

12

H-Index

1

About

Dr. Mei-Qing Cheng is a leading researcher in medical robotics and ultrasound imaging, whose work centers on enhancing diagnostic precision through automation. Her most significant contribution is the development of an autonomous robotic ultrasound scanning system (auto-RUSS), designed to overcome the variability inherent in manual ultrasound procedures. In her landmark 2025 study, which has already garnered 12 citations, Dr. Cheng engineered a 7-degree-of-freedom robotic pipeline and demonstrated that it achieves superior reproducibility and observer consistency compared to physicians with varying levels of expertise. This breakthrough directly addresses a critical bottleneck in medical imaging: the dependence on operator skill for reliable image analysis. By proving that autonomous systems can match or exceed human consistency, her research paves the way for standardized, high-quality ultrasound diagnostics in clinical settings. Dr. Cheng’s work is notable for its practical, translational focus, bridging robotics engineering and clinical radiology. Her findings not only promise to reduce diagnostic errors but also hold potential for expanding access to expert-level imaging in underserved areas, marking her as a pivotal figure in the future of automated medical diagnostics.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous robotic ultrasound scanning system: a key to enhancing image analysis reproducibility and observer consistency in ultrasound imaging
12 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago