This systematic review and meta-analysis evaluates the accuracy and reliability of AI-based approaches in detecting anatomical landmarks and measuring LLA angles in orthopedics. Results showed that AI outperforms manual techniques in speed and consistency, with the most reliable measurements being the hip-knee-ankle angle, mechanical axis deviation, and mechanical tibiofemoral angle. However, challenges with less reliable angles require further refinement. Future studies should focus on standardizing landmark definitions and addressing implementation barriers to maximize AI's potential in orthopedic practice.