Si‐Min Ruan

Sun Yat-sen University

Papers

1

Total Citations

12

H-Index

1

About

Dr. Si‐Min Ruan is pioneering the integration of robotics and medical imaging, with a primary focus on enhancing the reproducibility and objectivity of ultrasound diagnostics. Her most notable contribution is the development of an autonomous robotic ultrasound scanning system (auto-RUSS), a groundbreaking pipeline designed to eliminate operator-dependent variability in image acquisition. In a landmark 2025 study, she demonstrated that auto-RUSS significantly improves observer consistency and image analysis reproducibility compared to physicians with varying levels of expertise. This work addresses a critical bottleneck in ultrasound imaging—its reliance on manual skill—and paves the way for more reliable, standardized diagnostics. By engineering a 7-degree-of-freedom robotic arm for precise, automated scanning, Dr. Ruan has laid the foundation for future clinical applications where consistent, high-quality imaging is paramount. Her research, already garnering early citations, positions her as a leading voice in the emerging field of robotic-assisted medical imaging. Dr. Ruan’s work not only advances technical automation but also promises to democratize access to expert-level ultrasound, reducing diagnostic disparities in healthcare.

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