Researchers examined emerging applications of artificial intelligence in sports-related knee injuries, highlighting strong performance of machine learning and deep learning models in injury prediction, Magnetic resonance imaging-based diagnosis of anterior cruciate ligament and meniscal tears, and postoperative outcome forecasting, with some models achieving area under the curve values above 0.90 in experimental settings. However, most tools remain investigational due to limited external validation, lack of interpretability, and dataset bias, underscoring the need for multicenter studies and improved integration into clinical workflows before routine adoption.

Source: The Knee