S. Whitehurst
Papers
1
Total Citations
55
H-Index
1
About
S. Whitehurst is a researcher whose work centers on advancing surgical education through simulation-based training, with a particular focus on robotic-assisted surgery. Their most cited study, "Comparison of Two Simulation Systems to Support Robotic-Assisted Surgical Training: A Pilot Study (Swine Model)" (2014), has garnered 55 citations, reflecting its foundational role in evaluating the efficacy of different simulation platforms for surgical skill development. This pilot study, conducted using a swine model, provided critical insights into how simulation systems can be optimized to bridge the gap between theoretical knowledge and hands-on surgical proficiency. Whitehurst’s contributions are particularly notable for their practical implications in medical training, offering evidence-based guidance for integrating robotic simulation into curricula. By systematically comparing simulation technologies, they have helped shape best practices for training surgeons in minimally invasive techniques. Their work underscores a commitment to improving patient outcomes through rigorous, simulation-driven education, making them a key figure in the evolving landscape of surgical pedagogy. For students and researchers, Whitehurst’s research highlights the importance of empirical validation in medical training tools.
Research Focus
Key Achievements
Top Papers
- 1