Papers
12
Total Citations
171
H-Index
9
About
Jiawen Yan is a leading figure in the development of next-generation robotic systems for image-guided percutaneous interventions, with a particular focus on MRI-compatible, patient-mounted devices. Their core research integrates mechanical design, control systems, and medical imaging to create compact, lightweight robots that enhance procedural accuracy and safety. Yan’s most impactful contributions include a body-mounted, 4-DOF parallel robot for low back pain injections (34 citations) and a remotely actuated needle driver for MRI-guided procedures, both demonstrating significant force and accuracy in phantom studies. They have also pioneered systems for shoulder arthrography in pediatric patients, with cadaver and clinical workflow studies showing a path toward reducing ionizing radiation exposure. Beyond medical robotics, Yan’s work extends to agricultural automation, notably a real-time tomato fruit maturity detection method using YOLOv4 (19 citations). With over 160 total citations across their top ten papers, Yan’s research is characterized by translational impact—bridging novel mechanical design with rigorous preclinical evaluation—and a commitment to solving real-world clinical challenges, from prostate biopsy navigation to ultrasound image segmentation.
Research Focus
Key Achievements
Top Papers
- 1Body-mounted robotic assistant for MRI-guided low back pain injection34 citations · 2019
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