Mohakta Sahni
Papers
1
Total Citations
19
H-Index
1
About
Mohakta Sahni is a pioneering researcher at the intersection of surgical robotics and medical education, whose work centers on developing innovative training methodologies for minimally invasive surgery. Her most impactful contribution, the 2018 paper "Play Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery," introduces a hybrid training approach that seamlessly combines hand-over-hand guidance with trial-and-error learning, leveraging expert data from the da Vinci surgical system. This work, with 19 citations, demonstrates her ability to bridge the gap between robotic and traditional laparoscopic techniques, offering a scalable solution for surgical skill acquisition. Sahni’s research addresses a critical need in surgical training—creating unified platforms that reduce learning curves and improve proficiency. By integrating real-world expert data into a structured training framework, she has laid the groundwork for more effective, data-driven surgical education. Her achievements highlight a commitment to advancing both robotic surgery and medical pedagogy, making her a notable figure in the field. For students and researchers, Sahni’s work exemplifies how interdisciplinary approaches can transform surgical training, offering practical tools to enhance patient safety and surgical outcomes.
Research Focus
Key Achievements
Top Papers
- 1