Kunal P. Raygor

Gates (United States)

Papers

1

Total Citations

5

H-Index

1

About

Kunal P. Raygor is a pioneering neurosurgeon-researcher whose work sits at the intersection of cerebrovascular disease, neurocritical care, and cutting-edge medical technology. His primary research areas include stroke prevention, intraoperative neuromonitoring, and the application of artificial intelligence in neurosurgery. Dr. Raygor’s most notable contribution is his pilot study on using a novel robotic transcranial Doppler (TCD) system equipped with AI for real-time cerebral emboli detection during transcatheter aortic valve replacement (TAVR). This work, cited 5 times, demonstrated the feasibility of autonomous, continuous neuromonitoring to detect and potentially prevent periprocedural ischemic strokes—a major complication in TAVR patients. By integrating robotics and AI into intraoperative care, he has opened new avenues for safer cardiac and neurovascular procedures. Dr. Raygor’s research addresses a critical gap in real-time brain monitoring, offering a scalable solution that could transform standard practice in high-risk interventions. His innovative approach underscores a commitment to merging engineering and clinical neuroscience, positioning him as a rising leader in the field of neuroprotection and precision medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Cerebral emboli detection and autonomous neuromonitoring using robotic transcranial Doppler with artificial intelligence for transcatheter aortic valve replacement with and without embolic protection devices: a pilot study
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Gates (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago