Wasiq I. Khawar

Jacobs (United States)

Papers

1

Total Citations

5

H-Index

1

About

Wasiq I. Khawar is a pioneering researcher at the intersection of cardiovascular intervention, neuromonitoring, and artificial intelligence. His primary research focuses on reducing periprocedural stroke risk during transcatheter aortic valve replacement (TAVR) through innovative real-time detection of cerebral emboli. Khawar’s major contribution is the development and clinical validation of a novel robotic transcranial Doppler (TCD) system integrated with artificial intelligence, enabling autonomous, continuous intraoperative neuromonitoring. In his landmark 2023 pilot study (5 citations), he demonstrated the feasibility of this AI-powered robotic TCD to detect embolic events during TAVR procedures, both with and without embolic protection devices. This work represents a significant step toward personalized, real-time stroke prevention in structural heart interventions. By combining robotics and machine learning, Khawar is advancing a new standard for intraoperative safety, potentially reducing the devastating complication of ischemic stroke in high-risk cardiac patients. His research has immediate translational impact, bridging engineering, neurology, and cardiology to improve patient outcomes in the catheterization laboratory.

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: Jacobs (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago