The dental specialty of endodontics is primarily focused on treating conditions affecting the pulp and periradicular tissues. Physicians frequently deal with patients who present with a variety of symptoms. They also have to evaluate radiography pictures critically in two and three dimensions, make difficult diagnoses and decisions, and administer advanced treatment. In combination with inconsistent treatment outcomes due to non-standard clinical practices and low intra and interobserver agreement for radiographic interpretation, there is an unmet need for artificial intelligence (AI) to provide automated biomedical image analysis, decision support, and help during treatment. While there hasn’t been much clinical application of AI in endodontics during the last ten years, studies on the subject have steadily increased. In order to better understand endodontic diseases such periapical lesions, fractures, and resorptions, as well as to predict the outcomes of therapeutic treatments, this review critically evaluates the most recent developments in endodontic AI research. The advantages of AI-assisted diagnosis, treatment planning and implementation, and potential future developments in robotics and augmented reality are covered.