Surgical Simulation And Training
121 researchers across 8 institutions
This research area explores the development and application of advanced simulation technologies for surgical education and practice. Investigations focus on creating realistic virtual and augmented reality environments that mimic complex surgical procedures, allowing trainees to hone technical skills in a safe, controlled setting. Research also examines the efficacy of various simulation modalities, including haptic feedback systems and patient-specific anatomical models, in improving surgical competency and reducing errors. Methodologies involve biomechanical modeling, computer graphics, human-computer interaction, and psychomotor skill assessment.
The application of surgical simulation holds significant relevance for Arkansas's healthcare sector, which faces challenges in accessing specialized surgical training and retaining skilled practitioners, particularly in rural areas. By advancing simulation techniques, this research contributes to a more robust and accessible surgical workforce across the state, potentially improving patient outcomes and reducing healthcare costs. The development of these technologies also aligns with Arkansas's growing interest in digital health and advanced manufacturing sectors.
This work draws upon expertise in engineering, computer science, and medical education. It intersects with related fields such as medical imaging, reconstructive surgery, trauma care, and health outcomes research. Engagement spans multiple institutions throughout Arkansas, fostering a collaborative approach to enhancing surgical training and patient care.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| James Y. Suen | UAMS | 40 | 5,018 | High Impact | |
| Charlotte Y. Jeong | UAMS | 37 | 7,203 | High Impact | |
| Mohammad Pakravan | UAMS | 25 | 2,369 | High Impact | |
| Zainal Ariff Abdul Rahman | University of Arkansas | 25 | 1,577 | High Impact | |
| R Davis | UAMS | 23 | 1,689 | High Impact | |
| Mohammed Moursi | UAMS | 21 | 1,299 | High Impact | |
| James C. Yuen | UAMS | 20 | 1,456 | High Impact | |
| Jamie A. Cannon | UA Little Rock | 19 | 1,745 | ||
| Lindsey L. Wolf | UAMS | 18 | 968 | ||
| William Mustain | UAMS | 18 | 1,401 | ||
| Navin Kumar | UAMS | 18 | 1,000 | ||
| Sonia T. Orcutt | UAMS | 16 | 1,340 | ||
| Deanna Sasaki‐Adams | UAMS | 16 | 1,040 | ||
| Ali Tourchi | UAMS | 16 | 770 | ||
| Amjid Riaz | University of Arkansas | 16 | 854 | ||
| G. Dietrich | UAMS | 16 | 883 | ||
| Jonathan Laryea | UAMS | 12 | 463 | ||
| Kolin E. Rubel | University of Arkansas | 12 | 550 | ||
| Alejandro Martin‐Gomez | University of Arkansas | 11 | 398 | ||
| Ismael Zamilpa | UAMS | 11 | 343 |
Related Research Areas
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Surgical Simulation And Training.