Artificial intelligence for oral and maxillo-facial surgery: A narrative review

Artificial Intelligence (Al) is a set of technologies that simulate human cognition in order to address a specific problem. The improvement in computing speed, the exponential production and the routine collection of data have led to the rapid development of Al in the health sector. In this review, we propose to provide surgeons with the essential technical elements to help them understand the possibilities offered by Al and to review the current applications of Al for oral and maxillofacial surgery (OMFS). The review of the literature reveals a real research boom of Al in all fields in OMFS. The algorithms used are related to machine learning, with a strong representation of the convolutional neural networks specific to deep learning. The complex architecture of these networks gives them the capacity to extract and process the elementary characteristics of an image, and they are therefore particularly used for diagnostic purposes on medical imagery or facial photography. We identified representative articles dealing with Al algorithms providing assistance in diagnosis, therapeutic decision, preoperative planning, or prediction and evaluation of the outcomes. Thanks to their learning, classification, prediction and detection capabilities, Al algorithms complement human skills while limiting their imperfections. However, these algorithms should be subject to rigorous clinical evaluation, and ethical reflection on data protection should be systematically conducted. (C) 2022 Elsevier Masson SAS. All rights reserved.