• AI software accurately quantifies 3D displacement and rotation of posterior cruciate ligament tibial avulsion fractures, with no significant differences compared to traditional PACS measurements.
• Bland-Altman analysis and linear regression (R² > 0.99) confirm excellent consistency between AI and manual measurements.
• The AI software demonstrates high stability, with coefficients of variation < 20% in the majority of cases for fracture point identification.
• AI-based CT image analysis offers a reliable tool for preoperative planning, potentially improving surgical decision-making for avulsion fractures.