Angxiao Zhao

Tsinghua University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Angxiao Zhao is pioneering the frontier of robotic autonomous medical imaging, with a primary focus on developing intelligent systems for carotid ultrasonography. Their landmark work, "Towards expert-level autonomous carotid ultrasonography with large-scale learning-based robotic system" (2025, 10 citations), addresses a critical healthcare challenge: the shortage of skilled sonographers and diagnostic variability caused by the small dimensions and high anatomical variability of carotid vessels. Dr. Zhao’s major contribution lies in advancing beyond rule-based and simulation-trained reinforcement learning approaches, instead leveraging large-scale learning-based frameworks to achieve expert-level autonomy in robotic ultrasound. This work promises to democratize access to high-quality vascular diagnostics, reducing operator dependency and improving consistency. By tackling the inherent complexity of real-world anatomical variation, Dr. Zhao’s research bridges robotics, computer vision, and clinical medicine, setting a new benchmark for autonomous medical procedures. Their innovative integration of learning-based systems with robotic control marks a significant leap toward practical, deployable solutions in point-of-care imaging, with profound implications for stroke prevention and cardiovascular health management.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Towards expert-level autonomous carotid ultrasonography with large-scale learning-based robotic system
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Tsinghua University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago