Tyler Holler

University of Rochester Medical Center

Papers

5

Total Citations

60

H-Index

4

About

Tyler Holler is a pioneering researcher at the intersection of urologic surgery, simulation science, and artificial intelligence. His work focuses on three key areas: developing three-dimensional anatomical models for surgical planning, advancing robotic surgery training through novel simulation platforms, and applying machine learning to objectively assess surgical performance. Holler’s most impactful contribution is the application of IRIS 3D anatomical models as preoperative planning tools for managing localized renal masses, a study that has garnered 18 citations and demonstrated how interactive virtual models can improve surgical outcomes. He has also made significant strides in surgical education, showing that gaze-augmented training—where novices follow expert eye movement patterns—enhances skill acquisition in virtual reality robotic suturing tasks (17 citations). In a notable achievement, Holler developed machine learning methods to predict surgeon experience levels during robotic nerve-sparing radical prostatectomy, using objective performance metrics to accurately forecast caseload (12 citations). His comparative work on skill transfer between multiport and single-port robotic platforms (10 citations) has practical implications for the adoption of new surgical technologies. Holler’s research is shaping the future of precision surgery and competency-based training in urology.

Research Focus

Key Achievements

4
H-Index
5
Papers
60
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Application of IRIS Three-Dimensional Anatomical Models As Preoperative Surgical Planning Tools in the Management of Localized Renal Masses
18 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: University of Rochester Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago