Abstract
Introduction
Artificial intelligence (AI) has the potential to replicate human intelligence to
perform prediction and complex decision making in health care and has significantly
increased its presence and relevance in various tasks and applications in dentistry,
especially endodontics. The aim of this review was to discuss the current endodontic
applications of AI and potential future directions.
Methods
Articles that have addressed the applications of AI in endodontics were evaluated
for information pertinent to include in this narrative review.
Results
AI models (eg, convolutional neural networks and/or artificial neural networks) have
demonstrated various applications in endodontics such as studying root canal system
anatomy, detecting periapical lesions and root fractures, determining working length
measurements, predicting the viability of dental pulp stem cells, and predicting the
success of retreatment procedures. The future of this technology was discussed in
light of helping with scheduling, treating patients, drug-drug interactions, diagnosis
with prognostic values, and robotic-assisted endodontic surgery.
Conclusions
AI demonstrated accuracy and precision in terms of detection, determination, and disease
prediction in endodontics. AI can contribute to the improvement of diagnosis and treatment
that can lead to an increase in the success of endodontic treatment outcomes. However,
it is still necessary to further verify the reliability, applicability, and cost-effectiveness
of AI models before transferring these models into day-to-day clinical practice.
Key Words
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Article info
Publication history
Published online: June 09, 2021
Identification
Copyright
© 2021 American Association of Endodontists.
