Surgeons can now assess open surgical skills more accurately with a novel machine learning model.

• Achieved an 80.1% mean F1 score, surpassing previous assessment methods.
• Novice classification accuracy reached 90.1%, while proficient levels scored 86.3%.

Consider using this model for objective skill evaluation in training to ensure higher surgical quality and patient safety.

• The model predicts skill levels in just 10.2 seconds per video, streamlining assessments.