Şevval Kanlı

Koç University

Papers

1

Total Citations

2

H-Index

1

About

Şevval Kanlı is a rising researcher at the intersection of urological surgery and medical education technology. Her primary focus lies in developing innovative training methodologies for robotic partial nephrectomy, with a particular emphasis on integrating personalized feedback mechanisms and three-dimensional (3D) modeling. Her most cited work, published in 2025, introduces a groundbreaking approach that combines realistic 3D-printed tumor kidney models with personalized video feedback to enhance surgical training. This study directly addresses the limitations of the traditional master-apprentice model by offering a scalable, simulation-based alternative that improves skill acquisition and procedural accuracy. With 2 citations already in a short time, this paper signals growing interest in her work. Kanlı’s contributions are notable for bridging the gap between cutting-edge 3D printing technology and practical surgical education, potentially reshaping how future urologists are trained. Her research holds promise for reducing operative risks and improving patient outcomes, marking her as an emerging voice in surgical simulation and personalized learning.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
The contribution of personalized video feedback to robotic partial nephrectomy training in realistic 3D tumor kidney models: design, production and implementation
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Koç University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 69 days ago