Abstract

ARTIFICIAL INTELLIGENCE IN ENDODONTICS: A SCOPING REVIEW

Veena R.* and B. S. Keshava Prasad

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Abstract

Aim- The aim of this review was to discuss about the current applications of Artificial intelligence in the field of Endodontics in terms of diagnosis, decision making and predicting the prognosis of the treatment. Methods- Articles reporting on applications of Artificial intelligence in Endodontics were evaluated in this narrative. Results - The AI system have been implemented for various applications in Endodontics which includes determination of working length, predicting periapical pathosis, detection of vertical root fracture, assessment of root morphologies, predicting viability of stem cells and predicting prognosis of retreatment. Conclusion -The AI system has many applications in Endodontics and it can help dentists to diagnose and manage endodontic problems with higher accuracy and precision. However further studies are required in this field before widespread adoption into routine clinical practice.

Keywords: Artifical intelligence, Artificial neural network, Convolutional neural network, Deep learning models, Endodontics.