Novel applications of artificial intelligence, machine learning, and deep learning-based modalities in dental traumatology: An overview of evidence-based literature

Abstract In recent years, contemporary digital dentistry is rapidly evolving as a paradigm shift or revolutionary change in traditional dentistry for delivering high quality of dental care to patients. A significant contribution in the transformation of the dentistry field has been made from the advent of artificial intelligence (AI) and its subsets. Dental traumatic injuries are considered global public health concern. Hence, novel technological advancements, innovations, developments, and high-quality research are needed in the realm of dental traumatology to explore and analyze the various aspects of traumatic dental injuries (TDIs) for ameliorating the dental treatment outcomes. Recently, there have been several studies published pertaining to applications of AI and its subsets (i.e., machine learning and deep learning) in the arenas of dental traumatology. Different facets of TDIs have been delved scientifically using different applications of AI. However, to date, there is no review article published in the available literature in this regard. Therefore, the aim of the current review article was to explore and unveil the findings from the relevant literature pertaining to different applications of AI in the domain of dental traumatology. In this review article, the important findings from the relevant studies have been highlighted in the narrative way. This review would be quite insightful for the dental professionals and researchers in regard to the current status and overview of available literature about the scientific studies and innovative applications of AI in dental traumatology.