Artificial intelligence in endodontics: A narrative review

Abstract

Aim: With the help of developments in artificial intelligence (AI), picture archiving systems, and computer-aided diagnostic systems, dentists have been able to augment the quality of treatment and ensure a favorable outcome, by improving and facilitating the delivery of appropriate dental care. There has been a breakthrough in designing the diagnosis, treatment plans, and predicting prognoses recently, which has helped to explore newer options for better treatment. Materials and Methods: A literature search was conducted using MeSH terms in a variety of databases, including PubMed, Cochrane, Scopus, and Web of Science, to gather information on “Artificial intelligence (AI) in endodontics.” Unpublished data, literature written in other languages, and articles with only abstracts were discarded. Forty-one relevant articles were included. Results: Since there were not many papers referring to AI in endodontics, papers published relating to AI in dentistry were also referred. The search showed that the use of AI in dentistry, specifically in endodontics, has enormous promise. Although useful, AI has its disadvantages as well as the need for long-term studies. Conclusion: AI, consisting of a sequence of algorithms, work on a concept that mimics the human brain and thinking. AI in endodontics has been used widely in locating apical foramina, identifying periapical pathologies, diagnosis of vertical root fractures, evaluating the outcome of regenerative procedures and retreatments, and assessment of root morphologies and difficulties associated with canal preparations. Being a potential game changer and beginning something called a “fourth industrial revolution,” AI has what it takes to revolutionize endodontics with time.