New Algorithm Improves Competency Assessment in Laparoscopic Cholecystectomy

This study reveals a novel algorithm that quantifies surgical competency during laparoscopic cholecystectomy using video analysis.

• Cumulative temporal dissimilarity scores significantly correlate with competency (r = -0.61; p < .001).
• The predictive model showed strong accuracy, with overall scores matching ground-truth assessments (r = 0.86; p < .001).

Implementing this tool can enhance surgical training by providing objective evaluations, ultimately improving patient outcomes in laparoscopic procedures.

• Critical-view-of-safety score and operative time are key predictors in determining competency.