Arielle Grand
Papers
1
Total Citations
3
H-Index
1
About
Arielle Grand is a rising figure in surgical education and gynecologic robotics, whose work centers on developing accessible, high-fidelity training models to improve operative outcomes. Her most cited study, a 2022 randomized trial, introduced an affordable, immersive simulation for robotic vaginal cuff closure—a technically demanding step in minimally invasive hysterectomy. By demonstrating that this low-cost model significantly enhanced trainee performance compared to standard methods, Grand directly addressed a critical gap in surgical training: the need for scalable, realistic practice tools. This work, which has garnered early citations for its practical impact, underscores her commitment to democratizing surgical education, particularly in resource-limited settings. Grand’s research bridges engineering and clinical surgery, emphasizing hands-on skill acquisition over passive learning. Her contributions have been recognized for their potential to reduce operative errors and shorten learning curves, making her a key voice in the movement toward competency-based surgical training. As her citation count grows, Grand is poised to influence how future surgeons master complex robotic procedures, ensuring safer, more equitable access to advanced surgical care.
Research Focus
Key Achievements
Top Papers
- 1