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Review Open Access

Emerging applications of artificial intelligence in periodontology (Review)

  • Authors:
    • Richik Chakraborty
    • Nina Shenoy
    • Deepa G. Kamath
    • Smitha Shetty
    • Arathi Shenoy
  • View Affiliations / Copyright

    Affiliations: Department of Periodontology, Nitte (Deemed to be University), AB Shetty Memorial Institute of Dental Sciences (ABSMIDS), Mangalore, Karnataka 575018, India, Department of Periodontology, Manipal College of Dental Sciences, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka 575001, India
    Copyright: © Chakraborty et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].
  • Article Number: 48
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    Published online on: April 14, 2026
       https://doi.org/10.3892/wasj.2026.463
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Abstract

Artificial intelligence (AI) is steadily finding its place in periodontology, providing novel strategies with which to enhance diagnosis, guide treatment and support long‑term patient care. The present narrative review aimed to summarise recent advances in AI‑driven periodontal diagnostics and therapeutics, discuss the available data and explore potential future pathways in AI‑based periodontology. Recent research indicates that deep learning approaches, such as convolutional neural networks and vision transformers, can identify radiographic bone loss, gingival inflammation and complex periodontal defects with notable accuracy. AI has also been applied to salivary and gingival crevicular fluid biomarkers, helping to refine disease staging and predict treatment outcomes. In the clinical setting, robotic assistance, smart toothbrushes, mobile health tools and sensor‑based devices are emerging to improve precision and patient adherence. Applications are even extending to halitosis monitoring and forensic identification. Despite these promising advances, the majority of studies continue to rely on small or single‑centre datasets, with considerable variation in methods and limited external validation. Concerns around transparency, bias, and data security remain unresolved. Future progress will depend on large, collaborative studies and the development of explainable models that can be integrated into daily practice.
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Copy and paste a formatted citation
Spandidos Publications style
Chakraborty R, Shenoy N, Kamath DG, Shetty S and Shenoy A: Emerging applications of artificial intelligence in periodontology (Review). World Acad Sci J 8: 48, 2026.
APA
Chakraborty, R., Shenoy, N., Kamath, D.G., Shetty, S., & Shenoy, A. (2026). Emerging applications of artificial intelligence in periodontology (Review). World Academy of Sciences Journal, 8, 48. https://doi.org/10.3892/wasj.2026.463
MLA
Chakraborty, R., Shenoy, N., Kamath, D. G., Shetty, S., Shenoy, A."Emerging applications of artificial intelligence in periodontology (Review)". World Academy of Sciences Journal 8.3 (2026): 48.
Chicago
Chakraborty, R., Shenoy, N., Kamath, D. G., Shetty, S., Shenoy, A."Emerging applications of artificial intelligence in periodontology (Review)". World Academy of Sciences Journal 8, no. 3 (2026): 48. https://doi.org/10.3892/wasj.2026.463
Copy and paste a formatted citation
x
Spandidos Publications style
Chakraborty R, Shenoy N, Kamath DG, Shetty S and Shenoy A: Emerging applications of artificial intelligence in periodontology (Review). World Acad Sci J 8: 48, 2026.
APA
Chakraborty, R., Shenoy, N., Kamath, D.G., Shetty, S., & Shenoy, A. (2026). Emerging applications of artificial intelligence in periodontology (Review). World Academy of Sciences Journal, 8, 48. https://doi.org/10.3892/wasj.2026.463
MLA
Chakraborty, R., Shenoy, N., Kamath, D. G., Shetty, S., Shenoy, A."Emerging applications of artificial intelligence in periodontology (Review)". World Academy of Sciences Journal 8.3 (2026): 48.
Chicago
Chakraborty, R., Shenoy, N., Kamath, D. G., Shetty, S., Shenoy, A."Emerging applications of artificial intelligence in periodontology (Review)". World Academy of Sciences Journal 8, no. 3 (2026): 48. https://doi.org/10.3892/wasj.2026.463
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