Machine learning (ML) revolves around the concept of using experience to teach computer-based programs to reliably perform specific tasks. Healthcare setting is an ideal environment for adaptation of ML applications given the multiple specific tasks ...
BACKGROUND: Advances in deep learning (DL) have been transformative in computer vision and natural language processing, as well as in healthcare. The authors present a novel application of DL to plastic surgery. Here, the authors describe and demonst...
Diagnosis and treatment planning are the most important steps in the orthognathic surgery for the successful treatment. The purpose of this study was to develop a new artificial intelligent model for surgery/non-surgery decision and extraction determ...
BACKGROUND: Cephalometric analysis has long been, and still is one of the most important tools in evaluating craniomaxillofacial skeletal profile. To perform this, manual tracing of x-ray film and plotting landmarks have been required. This procedure...
Soft tissue robotics found its trigger for success in minimally invasive surgery. The minimization of the surgical damage is more obvious as the surgical alternative is more aggressive. In head and neck surgery, potential sequelae are both functional...
Transoral robotic-assisted lingual tonsillectomy seems to confirm good tolerability with efficient results in both adult and pediatric populations, and the complication rate is usually dependent on the specific procedure and not related to the use of...