Adoption of Artificial Intelligence in Periodontal Diagnostics: Awareness, Confidence, and Barriers Among Dental Practitioners in India

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 16 | Issue : 03 | Page : –
    By

    Bhavi Jain,

  • Divya Saxena,

  • Sanjeev Jain,

  • Navneet Seth,

  1. Researcher, Department of Periodontology, Guru Nanak Dev Dental College & Research Institute, Punjab, India
  2. Professor, Department of Periodontology, Guru Nanak Dev Dental College & Research Institute, Punjab, India
  3. Professor and Head, Department of Periodontology, Guru Nanak Dev Dental College & Research Institute, Punjab, India
  4. Associate Professor, Department of Management and Commerce, Guru Kashi University Talwandi Sabo, Punjab, India

Abstract

AI has emerged as a transformative tool in healthcare, including periodontics, where it aids in diagnosing periodontal diseases, assessing bone loss, and predicting disease progression. Despite its potential, the adoption of AI in dentistry, particularly in India, remains limited. This study aimed to evaluate the awareness, confidence, and willingness of dental practitioners to adopt AI-based tools in periodontal diagnostics. A cross-sectional survey was conducted among 106 dental practitioners, including general dentists and periodontists, from various practice settings. Data were collected using a structured online questionnaire and analyzed to identify trends and barriers to AI adoption. The findings revealed that 66.98% of respondents were aware of AI tools, and 71.70% had used them. Confidence in AI’s accuracy was moderate, with 35.85% expressing confidence and 16.04% reporting high confidence. The primary barriers to adoption were high cost (61.32%), lack of training (65.09%), and limited evidence (29.25%). Younger practitioners and those in academic institutions reported higher awareness and familiarity with AI tools compared to private practitioners and hospital-based dentists. Hands-on workshops (74.53%) and live demonstrations (57.55%) were the most preferred training methods. The study highlights the need for affordable training programs, financial support, and curriculum integration to facilitate AI adoption in periodontics, ultimately improving patient care and advancing dental practice.

Keywords: Artificial Intelligence, Periodontal Diagnostics, Dental Practitioners, AI Adoption, Awareness, Confidence, Barriers, Training Methods, Dental Education.

[This article belongs to Research and Reviews: A Journal of Dentistry ]

How to cite this article:
Bhavi Jain, Divya Saxena, Sanjeev Jain, Navneet Seth. Adoption of Artificial Intelligence in Periodontal Diagnostics: Awareness, Confidence, and Barriers Among Dental Practitioners in India. Research and Reviews: A Journal of Dentistry. 2025; 16(03):-.
How to cite this URL:
Bhavi Jain, Divya Saxena, Sanjeev Jain, Navneet Seth. Adoption of Artificial Intelligence in Periodontal Diagnostics: Awareness, Confidence, and Barriers Among Dental Practitioners in India. Research and Reviews: A Journal of Dentistry. 2025; 16(03):-. Available from: https://journals.stmjournals.com/rrjod/article=2025/view=215799


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Regular Issue Subscription Original Research
Volume 16
Issue 03
Received 24/05/2025
Accepted 24/06/2025
Published 04/07/2025
Publication Time 41 Days
Total Visits: 17


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