Papers
2
Total Citations
9
H-Index
2
About
Casey Troxler is a pioneering researcher in surgical data science, specializing in robotic surgery and objective performance assessment. Their work centers on developing standardized frameworks for analyzing surgical video and quantifying surgeon behavior, with a particular focus on the learning curve for surgeons transitioning to robotic platforms. Troxler’s most impactful contribution is the creation of the first clinical temporal annotation guide library for 10 robotic procedures, accompanied by a standardized ontology framework for surgical video annotation—a foundational resource that has already garnered 7 citations since its 2025 publication. This work enables consistent, shareable analysis of surgical workflows across institutions. Additionally, Troxler’s investigation into early learning curve changes during robotic cholecystectomy, using novel objective performance indicators (OPIs), provides critical insights into when experienced laparoscopic surgeons achieve proficiency on the robotic platform. By identifying measurable behavioral markers of surgical skill acquisition, this research has direct implications for surgical training and credentialing. Troxler’s contributions are shaping how the field measures and improves surgical performance, offering tools that promise to enhance both education and patient safety in robotic surgery.
Research Focus
Key Achievements
Top Papers
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