Acta Scientific Dental Sciences

Editorial Volume 9 Issue 9

Artificial Intelligence in Endodontics: Redefining Precision and Possibilities

Labishetty Karthik1, Manoj Kumar Reddy Gade2 and Tejaswi Kala3*

1Professor HOD, Department Conservative and Endodontics, Tirumala Institute of Dental Sciences and Research Centre, India
2Dental Health Informatics and Technology Specialist, Oral Surgery and Implant Centre – Pennsylvania, USA
3Associate Professor, Department of Public Health Dentistry, Tirumala institute of dental sciences and research centre, Nizamabad, India

*Corresponding Author: Tejaswi Kala, Associate Professor, Department of Public Health Dentistry, Tirumala institute of dental sciences and research centre, Nizamabad, India.

Received: August 29, 2025; Published: September 01, 2025

Abstract

Endodontics has always been a specialty of precision. From diagnosing subtle periapical pathoses to negotiating complex root canal anatomies, clinicians have traditionally relied on their experience, intuition, and radiographic interpretation. Yet, these processes are prone to human error, inter-observer variability, and limitations of human perception. In recent years, artificial intelligence (AI) has emerged as a transformative force across healthcare, and endodontics is no exception. By harnessing the power of machine learning, deep learning, and image recognition, AI is reshaping how clinicians diagnose, plan, and execute treatment while simultaneously influencing education and research.

References

  1. Orhan K., et al. “Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans”. International Endodontic Journal5 (2020): 680-689.
  2. Setzer FC., et al. “Artificial intelligence for the computer-aided detection of periapical lesions on CBCT scans”. Journal Endodontic 7 (2020): 987-993.
  3. Ekert T., et al. “Deep learning for the radiographic detection of apical lesions”. Journal Endodontic 7 (2019): 917-922.e5.
  4. Tandon D and Rajawat J. “Present and future of artificial intelligence in dentistry”. Journal of Oral Biology and Craniofacial Research 4 (2020): 391-396.
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Citation

Citation: Tejaswi Kala., et al. “Artificial Intelligence in Endodontics: Redefining Precision and Possibilities".Acta Scientific Dental Sciences 9.10 (2025): 01-03.

Copyright

Copyright: © 2025 Tejaswi Kala., 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.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.278

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