S Vidhyadhara Shetty¹, Rucha Harde²*, Aashna Dinesh², Prathap MS³, Aboobacker Sidheeque⁴, Nihala Mariyam⁴

¹MDS, Professor and HOD, Department of Conservative Dentistry and Endodontics, Yenepoya Dental College, Mangalore, Karnataka, India
²MDS, Postgraduate, Department of Conservative Dentistry and Endodontics, Yenepoya Dental College, Mangalore, Karnataka, India
³MDS, Professor, Department of Conservative Dentistry and Endodontics, Yenepoya Dental College, Mangalore, Karnataka, India
⁴MDS, Lecturer, Department of Conservative Dentistry and Endodontics, Yenepoya Dental College, Mangalore, Karnataka, India

*Corresponding Author: Rucha Harde, MDS, Postgraduate, Department of Conservative Dentistry and Endodontics, Yenepoya Dental College, Mangalore, Karnataka, India.

Received: September 01, 2025; Published: September 16, 2025

Abstract

Artificial Intelligence (AI) is revolutionizing endodontics, significantly enhancing the accuracy of diagnoses and the effectiveness of treatments. This literature review examines the methods and applications of AI within endodontics, particularly its role in detecting root fractures, periapical lesions, and evaluating root canal anatomy. AI technologies, such as machine learning and deep learning, have shown remarkable precision in tasks like determining working length and predicting the success of retreatment procedures. The integration of AI into endodontics holds great promise for improving patient care by refining treatment plans, minimizing procedural errors, and advancing robotic-assisted endodontic surgeries. Despite the encouraging outcomes, challenges such as data variability and the necessity for standardized protocols persist. This review underscores the potential of AI to transform endodontic practice and highlights the need for ongoing research and development in this area.

Keywords: Artificial Intelligence; Deep Learning; Machine Learning; Dental Pulp Cavity; Retreatment

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Citation

Citation: Rucha Harde., et al. “Artificial Intelligence in Endodontics - A Literature Review".Acta Scientific Dental Sciences 9.10 (2025): 29-37.

Copyright

Copyright: © 2025 Rucha Harde., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.