Mahrukh Khursheed

Sir Syed University of Engineering and Technology

Papers

Total Citations

H-Index

About

Dr. Mahrukh Khursheed is a researcher at the forefront of applying deep learning and computer vision to transform surgical robotics, with a particular focus on dentistry. Her most-cited work, "Object Recognition for Dental Instruments Using SSD-MobileNet" (2019, 22 citations), addresses a critical gap in robot-assisted surgery by developing a lightweight, real-time object detection system specifically for dental instruments. This contribution is significant because, while robotic assistance has revolutionized fields like general surgery, its application in dentistry has lagged. By leveraging the efficient SSD-MobileNet architecture, Dr. Khursheed’s research enables precise instrument recognition, a foundational step toward making autonomous or semi-autonomous robotic tools accessible to dental surgeons. Her work not only demonstrates the practical integration of AI in medical devices but also highlights a commitment to democratizing advanced surgical technology. With a growing citation impact, Dr. Khursheed is establishing herself as a key innovator at the intersection of artificial intelligence and healthcare, paving the way for safer, more efficient, and more widely available robotic-assisted dental procedures.