Papers

5

Total Citations

14

H-Index

2

About

Jonathan Shapey is a pioneering researcher at the intersection of neurosurgery, artificial intelligence, and medical robotics. His work focuses on developing intelligent systems to enhance surgical precision, safety, and training. A major contribution is the creation of a deep reinforcement learning system for intraoperative hyperspectral video autofocusing, enabling real-time tissue differentiation during surgery—a breakthrough with 5 citations that addresses critical hardware limitations in optical imaging. Shapey also leads the development of Vine4Spine, a steerable tip-growing robot with contact force estimation for navigating the spinal subarachnoid space, offering a minimally invasive alternative for delivering therapies to treat neurodegenerative diseases. His research extends to holistic sensing in the operating room through the MUTUAL platform, which integrates multimodal data for embodied AI, and to surgical skill assessment via the ReCAP network, which automates pseudo-label generation for objective evaluations. Shapey’s forward-looking work on evolving surgical teams in the age of AI and robotics has garnered 2 citations, highlighting his influence on the future of surgery. His achievements demonstrate a commitment to translating cutting-edge technology into clinical practice, making him a leading voice in AI-driven surgical innovation.

Research Focus

Key Achievements

2
H-Index
5
Papers
14
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
5 citations · 2023
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: King's College London, King's College School, King's College - North Carolina

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago