Background : This study aims to evaluate the learning curve associated with solo robotic hepatectomy performed by a single surgeon at a tertiary medical center. The primary objectives include assessing operative times, intraoperative complications, and postoperative outcomes as indicators of proficiency and improvement over the course of the learning curve.

Methods : A retrospective analysis was conducted on a cohort of patients who underwent solo robotic hepatectomy by a single surgeon between March 2021 and December 2023. Demographic, perioperative, and postoperative data were collected and analyzed. The patients were stratified into sequential groups to delineate the learning curve phases. Operative times, blood loss, conversion rates, and complication rates were compared across these groups.

Results : A total of 30 patients were included in the study. The learning curve analysis revealed a significant reduction in mean operative times from 267 to 197 (p < 0.05). Blood loss demonstrated a similar trend, with a statistically significant decrease over the learning curve phases (p < 0.05). The overall complication rate also exhibited a decline as the surgeon gained experience, indicating improved proficiency in solo robotic hepatectomy.

Conclusions : This study demonstrates a discernible learning curve associated with solo robotic hepatectomy performed by a single surgeon at a single center. As experience increased, operative times, blood loss, and complication rates significantly improved. These findings suggest that solo robotic hepatectomy can be safely adopted, and with dedicated practice, surgeons can achieve proficiency and optimize patient outcomes. Further prospective studies and standardized training programs are warranted to validate and generalize these results.