Papers
3
Total Citations
56
H-Index
3
About
Sue Kulason is a pioneering researcher in surgical data science, specializing in the objective assessment of technical skills in robotic-assisted surgery. Her work focuses on developing interpretable, machine learning–based metrics to evaluate surgeon performance, moving beyond subjective and resource-intensive traditional methods. In her highly cited 2020 paper, "How to Bring Surgery to the Next Level," Kulason introduced a framework for interpretable skills assessment in robotic surgery, laying the groundwork for data-driven surgical training. She further advanced the field by employing multimodal analysis of objective performance metrics to predict surgical experience in robotic nerve-sparing radical prostatectomy, as detailed in her 2023 study. Her 2024 systematic review on robotic surgery objective performance indicators consolidated the state of the art, highlighting their transformative potential. With over 56 cumulative citations across her key works, Kulason’s contributions are shaping the future of surgical education and quality assurance, making her a leading voice in the integration of artificial intelligence and data science into the operating room.
Research Focus
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