ABSTRACT Artificial intelligence (AI) has the potential to revolutionize endodontic dentistry’s clinical standards, especially in the complex field of root canal therapy. This review looks at how AI is quickly improving diagnostic precision and improving treatment planning procedures. By leveraging machine learning and deep learning, AI systems have been demonstrating superior capabilities in interpreting the radiographic data, mapping the complex root canal anatomies, and predicting the treatment outcomes. These technologies facilitate the detection of periapical lesions present in the oral cavity of the patients, determination of the working length of root canals, and identification of the vertical root fractures with a precision that often surpasses conventional and traditional methods. Despite this potential, the path to clinical integration is fraught with challenges, including the data privacy issues, the inherent algorithmic biases, as well as the significant technical barriers and integrational hurdles. This paper argues that AI will be a crucial tool for reaching a new and exclusive standard of personalized and predictive endodontic care, rather than a replacement for clinician expertise. It has done this by synthesizing current evidence, addressing these limitations, and exploring future directions.
Mishra et al. (Tue,) studied this question.