Authors : Dr. Archa B; Dr. Swathi Amin

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/mwfyjpzj

DOI : https://doi.org/10.38124/ijisrt/25may133

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Artificial intelligence (AI) is a technology that mimics intelligent human behavior by using machines. In recent years, its popularity has grown all over the world. This is primarily due to its capacity to accelerate treatment planning processes, enhance patient outcomes, and improve the accuracy of the diagnosis. To enhance personalized learning, predictive analytics, and patient care plans, endodontic AI-based techniques have been essential in utilizing many models using Deep Learning (DL) and Machine Learning (ML). The purpose of the review was to discuss the current endodontic uses of AI as well as possible future paths. In endodontics, AI models such as (e.g., convolutional neural networks and/or artificial neural networks) are used to study the anatomy of the root canal system, detect periapical lesions and root fractures, determine working length measurements, predict the viability of dental pulp stem cells, and determine the success of retreatment procedures. The future of this technology was discussed in terms of prognostic value diagnostics, drug interactions, scheduling, patient treatment, and robotically assisted endodontic surgery. AI has the potential to be transparent, reproducible, unbiased, and easy to use with careful design and long-term clinical validation. More research is required to verify the cost-effectiveness, applicability, and reliability of AI models before they are routinely used in clinical practice.

Keywords : Artificial Intelligence; Artificial Neural Networks; Convolutional Neural Networks; Endodontics

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