It is proposed that a novel maxillofacial fracture detection system (MFDS) be developed to identify traumatic fractures in patients, using the use of deep learning and transfer techniques. To classify future computed tomography (CT) scans as "fracture" or "no Fracture," we re-trained a convolutional neural network on CT scans after it had been initially trained on non-medical images. A total of 148 CT scans were used for training the model (120 patients were annotated as having a fracture, and 28 were annotated as having no fracture). Five patients were classified as having "no Fracture," and the remaining 25 were classified as having a fracture;