Yael May

University of Leeds

Papers

1

Total Citations

2

H-Index

1

About

Yael May is a pioneering researcher in the intersection of robotics and medical imaging, with a primary focus on magnetically actuated systems within clinical environments. Her most notable contribution is the development of "gradient pulling" techniques for tethered robots using magnetic resonance imaging (MRI) systems, a breakthrough that enables precise, non-invasive control of miniature devices inside the body for targeted therapies. This work, published in 2025, has already garnered 2 citations, signaling its early but significant impact on the field of interventional MRI. May’s research addresses critical challenges in minimally invasive surgery, such as navigating tethered robots through complex anatomical pathways without compromising imaging quality. By leveraging MRI’s inherent magnetic gradients, she has opened new avenues for real-time, image-guided robotic interventions. Her achievements highlight a rare blend of expertise in robotics, magnetic actuation, and medical imaging, positioning her as an emerging leader in theranostic systems. For students and researchers, May’s work exemplifies how cross-disciplinary innovation can transform clinical practice, offering a glimpse into the future of safer, more precise medical procedures.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Gradient pulling of a tethered robot via a magnetic resonance imaging system
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Leeds

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago