Shah Alpesh
Papers
2
Total Citations
20
H-Index
2
About
Shah Alpesh is a pioneering researcher at the intersection of robotic surgery and telemedicine, with a primary focus on remote robotic-assisted endovascular interventions. His work addresses a critical challenge in telesurgery: the impact of network performance—specifically latency and bandwidth—on the precision and safety of robotic catheter navigation. In his landmark 2021 study, Alpesh demonstrated in a porcine model how network delays can compromise real-time control, potentially affecting clinical outcomes in remote procedures. This research, cited 17 times, provides foundational insights for developing robust teleoperated surgical systems. Alpesh’s contributions are vital for advancing equitable access to specialized endovascular care, particularly in underserved or remote regions. By quantifying the relationship between network speed and procedural accuracy, he has laid the groundwork for future clinical translation. His work continues to influence the design of low-latency communication protocols and haptic feedback mechanisms in robotic platforms, positioning him as a key figure in the evolution of next-generation telesurgery.
Research Focus
Key Achievements
Top Papers
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