Tyler Holler
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
Top Papers
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