Papers

4

Total Citations

40

H-Index

4

About

Joonmyeong Choi is a pioneering researcher at the intersection of soft robotics and surgical automation, whose work is redefining medical interventions from the operating room to chronic care. His primary research areas include soft actuator design, surgical tool recognition, and wearable therapeutic devices. Choi’s most impactful contribution is his 2021 study on video recognition of mastoidectomy using convolutional neural networks (15 citations), which demonstrated how deep learning can detect and segment surgical tools and anatomical regions, paving the way for computer-assisted surgery. He has also made significant strides in soft robotics, designing a fully soft actuator with a double-helix tendon routing path for precise twisting motion (10 citations), and an origami-inspired soft fabric pneumatic actuator for wearable lymphedema massaging modules (8 citations)—a proof-of-concept addressing a condition affecting 250 million patients worldwide. His continuum robot with variable stiffness for gastrointestinal stenting (7 citations) introduces a conformability factor to improve stent placement. Through these innovations, Choi is advancing safer, more adaptive robotic systems that promise to enhance both surgical precision and patient quality of life.

Research Focus

Key Achievements

4
H-Index
4
Papers
40
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Video recognition of simple mastoidectomy using convolutional neural networks: Detection and segmentation of surgical tools and anatomical regions
15 citations · 2021
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Ulsan, Ulsan College, Robotics Research (United States), Seoul National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago