Kateryna Pirkovets

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About

Dr. Kateryna Pirkovets is a rising leader in the field of surgical data science, with a primary focus on the automation of surgical workflow recognition and the analysis of robotic surgery kinematics. Her research centers on unlocking the hidden patterns within the motion data of surgical instruments during robot-assisted procedures, particularly robot-assisted laparoscopic prostatectomy (RALP). In her most cited work, "Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures," Dr. Pirkovets addresses a critical gap in digital surgery: the reliance on manual video analysis for procedural evaluation. By expanding the set of kinematic instrument metrics, she provides a foundation for automated, objective assessment of surgical skill and workflow. This contribution is pivotal for advancing surgical training, improving patient outcomes, and enabling real-time feedback in the operating room. With her work gaining traction in the surgical robotics community, Dr. Pirkovets is at the forefront of translating complex motion data into actionable insights, promising to transform how we understand and evaluate surgical performance in the digital age.