Siddhartha Kapuria
Papers
2
Total Citations
8
H-Index
2
About
Siddhartha Kapuria is at the forefront of integrating robotics and machine learning into surgical diagnostics and intervention. His research focuses on two transformative areas: tactile sensing for cancer detection and autonomous robotic systems for precision surgery. In his pioneering 2024 work on gastric cancer diagnosis, Kapuria introduced the first-ever use of a Vision-based Tactile Sensor (VTS) combined with machine learning to classify Advanced Gastric Cancer polyps, achieving 5 citations and offering a non-invasive alternative to traditional endoscopic methods. He further advanced surgical autonomy with a patient-specific framework for spinal fixation using a steerable drilling robot, earning 3 citations and demonstrating how robotics can enhance safety and accuracy in complex orthopedic procedures. Kapuria’s contributions are notable for their translational potential—bridging sensor technology and AI to address real-world clinical limitations. His work not only pushes the boundaries of medical robotics but also lays the groundwork for more intelligent, adaptive surgical tools. For students and researchers, Kapuria exemplifies how interdisciplinary innovation can solve pressing challenges in healthcare, from early cancer diagnosis to autonomous surgery.
Research Focus
Key Achievements
Top Papers
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- 2