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Original Research | Dentistry | Volume 15 Issue 5, May 2026 | Pages: 1259 - 1262 | India
Artificial Intelligence in Periodontology: A Questionnaire-Based Assessment of Knowledge, Attitude, and Perception Among Postgraduate Periodontology Students
Abstract: Background: Artificial intelligence (AI) is increasingly being explored in periodontology for diagnostics, prognosis assessment, and treatment planning. Aim: This study assessed the knowledge, attitudes, and perceptions of postgraduate periodontology students regarding AI applications in periodontology. Materials and Methods: A cross-sectional questionnaire-based survey was conducted among 103 postgraduate periodontology students in Gujarat, India. Participants were selected using purposive sampling. A 15-item electronic questionnaire was developed and validated by subject experts for content validity; internal consistency was assessed using Cronbach?s alpha (? = 0.78). The questionnaire assessed familiarity with AI, understanding of its principles, and perceptions regarding its clinical and educational applications. Descriptive statistics and inferential analyses (Chi-square test and Spearman correlation) were performed using SPSS v20. Results: Most participants reported familiarity with AI (95%). Many believed AI could assist in periodontal diagnosis, radiographic analysis, treatment outcome prediction, and implant planning. Strong support was observed for inclusion of AI in postgraduate education. Opinions were divided regarding AI replacing periodontists. Positive correlations were observed between knowledge, attitude, and perception domains. Conclusion: Postgraduate periodontology students demonstrated favorable perceptions toward AI, though knowledge gaps persist regarding technical understanding. Educational integration and responsible clinical implementation are recommended.
Keywords: artificial intelligence, periodontology, dental education, diagnosis, questionnaire survey
How to Cite?: Shreya Rawal, Mishal Shah, Amit Benjamin, Shivani Jani, "Artificial Intelligence in Periodontology: A Questionnaire-Based Assessment of Knowledge, Attitude, and Perception Among Postgraduate Periodontology Students", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 1259-1262, https://www.ijsr.net/getabstract.php?paperid=MR26520142041, DOI: https://dx.dx.doi.org/10.21275/MR26520142041