Abstract

The significance and use of artificial intelligence (AI) in dentistry and other industries has significantly increased. In the healthcare sector, particularly in endodontics, AI can replicate human intelligence to make complex predictions and decisions. Convolutional neural networks or artificial neural networks have shown promise in endodontics for various applications, including analyzing the anatomy of the root canal system, enhancing the viability of dental pulp stem cells, determining working lengths, identifying periapical lesions and root fractures, and predicting retreatment outcomes. Future applications of this technology, such as prognostic assessment, drug interactions, treatment planning, patient care, and automated endodontic surgery, have been considered. AI has demonstrated precision and accuracy. AI holds potential for improving endodontic treatment and diagnosis, ultimately leading to increased procedure effectiveness. However, before incorporating these models into routine clinical practices, it is essential to validate their usability, reliability, and accessibility. Keywords: Artificial intelligence in dentistry, Digital dentistry, use of AI in dentistry.

Full Text
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