Mohammed Salman Shazeeb
University of Massachusetts Chan Medical School, UMass Memorial Medical Center
Papers
2
Total Citations
7
H-Index
2
About
Mohammed Salman Shazeeb is a pioneering researcher at the intersection of computer vision and pediatric neurosurgery, whose work is redefining precision in both surgical robotics and AI-driven diagnostics. His key research areas span real-time medical image segmentation, stereotactic gene therapy, and robot-assisted neurosurgical interventions for children. Shazeeb’s major contributions include developing a YOLOv8-based framework for real-time object segmentation during laparoscopic cholecystectomy, achieving 4 citations and demonstrating how deep learning can enhance intraoperative decision-making. In a groundbreaking 2025 study, he addressed the formidable challenges of robot-assisted intrathalamic infusion for gene therapy in young children, leveraging the thalamus’s role as an integrative hub to enable widespread gene delivery via axonal transport. This work, cited 3 times, tackles the fragility of infant skulls and the demands of prolonged infusion protocols. Shazeeb’s research is notable for bridging computational efficiency with surgical safety, offering scalable solutions for minimally invasive procedures. His achievements underscore a commitment to translating cutting-edge AI and robotics into life-changing therapies, making him a rising voice in translational medical engineering.
Research Focus
Key Achievements
Top Papers
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- 2