Learning curves in robotic and laparoscopic colorectal surgery: a systematic review
This systematic review evaluated learning-curve assessment in laparoscopic and robotic colorectal surgery, analyzing 114 studies with 167 learning-curve analyses. The most common method was CUSUM or risk-adjusted CUSUM (66.4%), with operative time as the primary endpoint (79.6%). Operative-time plateaus were identified after 38 colonic and 56 rectal procedures, and robotic series reported numerically lower competency thresholds than laparoscopic series, though differences were not statistically significant.
This systematic review evaluated learning-curve assessment in laparoscopic and robotic colorectal surgery, analyzing 114 studies with 167 learning-curve analyses. The most common method was CUSUM or risk-adjusted CUSUM (66.4%), with operative time as the primary endpoint (79.6%). Operative-time plateaus were identified after 38 colonic and 56 rectal procedures, and robotic series reported numerically lower competency thresholds than laparoscopic series, though differences were not statistically significant.
The study was conducted in Basel, Switzerland, and its findings could inform AI-driven surgical training programs within Swiss healthcare institutions.
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