This study aimed to use deep learning (DL) to significantly accelerate MRI scans, enabling a comprehensive 5-minute knee examination without compromising image quality or diagnostic accuracy. A DL model optimized for image reconstruction was trained on multiple MRI sequences, achieving a 3.49-fold acceleration in data acquisition. Results showed that DL-accelerated images were interchangeable with standard images for diagnosing knee internal derangements, and readers preferred the quality of the accelerated images.