Jiaqi Ge

Fudan University

Papers

1

Total Citations

5

H-Index

1

About

Jiaqi Ge is a pioneering researcher at the intersection of artificial intelligence and robotic-assisted surgery, with a primary focus on advancing embodied intelligence for endovascular procedures. Their most-cited work, a 2025 systematic review on AI solutions for robotic-assisted endovascular interventions, has already garnered 5 citations, reflecting the field’s growing urgency. In this landmark study, Ge critically analyzes how robotic systems can overcome the manual challenges of high-precision demands, operator fatigue, and radiation exposure—barriers that have long limited endovascular treatment outcomes. By mapping the integration of AI into robotic platforms, Ge identifies a pivotal moment where machine learning and sensor fusion can enhance dexterity, decision-making, and safety during complex vascular procedures. This contribution not only synthesizes current technological frontiers but also charts a roadmap for future innovations in minimally invasive surgery. Ge’s work is notable for bridging clinical needs with cutting-edge AI, positioning them as a key voice in the emerging field of intelligent surgical robotics. For students and researchers, Ge’s research offers a compelling vision of how embodied AI can transform high-stakes medical interventions, making procedures safer, more precise, and less taxing for clinicians.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago