Deep learning-based model for automated classification of cervical spine fractures with a remarkable 99.67% accuracy, surpassing radiologists' performance. Utilizes AlexNet and GoogleNet architectures for efficient and fast diagnosis in medical applications, enhancing clinical and research-based workflows.