Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2023 Jan 31:2023:7049360.
doi: 10.1155/2023/7049360. eCollection 2023.

Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature

Mohmed Isaqali Karobari  1   2 , Abdul Habeeb Adil  3 , Syed Nahid Basheer  4 , Sabari Murugesan  4 , Kamatchi Subramani Savadamoorthi  4 , Mohammed Mustafa  5 , Abdulaziz Abdulwahed  5 , Ahmed A Almokhatieb  5
Affiliations
Review

Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature

Mohmed Isaqali Karobari et al. Comput Math Methods Med. .

Abstract

Aim: This comprehensive review is aimed at evaluating the diagnostic and prognostic accuracy of artificial intelligence in endodontic dentistry.

Introduction: Artificial intelligence (AI) is a relatively new technology that has widespread use in dentistry. The AI technologies have primarily been used in dentistry to diagnose dental diseases, plan treatment, make clinical decisions, and predict the prognosis. AI models like convolutional neural networks (CNN) and artificial neural networks (ANN) have been used in endodontics to study root canal system anatomy, determine working length measurements, detect periapical lesions and root fractures, predict the success of retreatment procedures, and predict the viability of dental pulp stem cells. Methodology. The literature was searched in electronic databases such as Google Scholar, Medline, PubMed, Embase, Web of Science, and Scopus, published over the last four decades (January 1980 to September 15, 2021) by using keywords such as artificial intelligence, machine learning, deep learning, application, endodontics, and dentistry.

Results: The preliminary search yielded 2560 articles relevant enough to the paper's purpose. A total of 88 articles met the eligibility criteria. The majority of research on AI application in endodontics has concentrated on tracing apical foramen, verifying the working length, projection of periapical pathologies, root morphologies, and retreatment predictions and discovering the vertical root fractures.

Conclusion: In endodontics, AI displayed accuracy in terms of diagnostic and prognostic evaluations. The use of AI can help enhance the treatment plan, which in turn can lead to an increase in the success rate of endodontic treatment outcomes. The AI is used extensively in endodontics and could help in clinical applications, such as detecting root fractures, periapical pathologies, determining working length, tracing apical foramen, the morphology of root, and disease prediction.

PubMed Disclaimer

Conflict of interest statement

With the publishing of this paper, the authors confirm no conflicting interests.

Figures

Figure 1
Figure 1
Types of artificial intelligence.
Figure 2
Figure 2
Schematic representation of artificial intelligence model.
Figure 3
Figure 3
PRISMA flowchart showing the selection process of articles retrieved from different web sources.
Figure 4
Figure 4
Uses of artificial intelligences in endodontics.
See this image and copyright information in PMC

References

    1. Revilla-León M., Gómez-Polo M., Vyas S., et al. Artificial intelligence applications in implant dentistry: a systematic review. The Journal of prosthetic dentistry . 2021:p. 00309. doi: 10.1016/j.prosdent.2021.05.008. - DOI - PubMed
    1. Barr A., Feigenbaum E. A. The Handbook of Artificial Intelligence . Los Altos, CA: William Kaufmann. Inc; 1981.
    1. Khanagar S. B., Al-Ehaideb A., Maganur P. C., et al. Developments, application, and performance of artificial intelligence in dentistry-a systematic review. Journal of dental sciences . 2021;16(1):508–522. doi: 10.1016/j.jds.2020.06.019. - DOI - PMC - PubMed
    1. Murphy M., Killen C., Burnham R., Sarvari F., Wu K., Brown N. Artificial intelligence accurately identifies total HIP arthroplasty implants: a tool for revision surgery. HIP International . 2022;32(6):766–770. doi: 10.1177/1120700020987526. - DOI - PubMed
    1. Rajaraman V. JohnMcCarthy—father of artificial intelligence. Resonance . 2014;19(3):198–207. doi: 10.1007/s12045-014-0027-9. - DOI