Meisha Gul
Papers
1
Total Citations
17
H-Index
1
About
Meisha Gul is a pioneering researcher at the intersection of dentistry and robotics, whose work is reshaping how dental professionals train and perform implant surgery. Her primary research areas include robotic-assisted dental implantology, surgical education, and the application of dynamic computer-assisted implant surgery (D-CAIS) in clinical training. Gul’s most notable contribution is her landmark 2024 study, "Exploring the Learning Curve of Dental Implant Placement Using a Task‐Autonomous Robotic System Among Young Dentists From Different Specialties," which has already garnered 17 citations. This pilot module study provided critical insights into how novice surgeons from various specialties adapt to robotic systems, demonstrating that task-autonomous robotics can flatten the learning curve and improve precision in implant placement. By systematically analyzing the learning trajectories of young dentists, Gul’s work offers evidence-based guidelines for integrating robotic training into dental curricula, potentially reducing surgical errors and enhancing patient outcomes. Her research not only advances the field of digital dentistry but also bridges the gap between engineering and clinical practice, making her a key figure in the future of automated surgical training.
Research Focus
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Top Papers
- 1