To gauge readiness for artificial intelligence (AI) integration in orthodontic cephalometric analysis and address training gaps among Karnataka postgraduate, we have decided to assess the knowledge and attitude of orthodontic postgraduate students regarding the use of AI in cephalometric analysis using a cross-sectional survey among orthodontic postgraduate students in Karnataka. Data was collected through a web-based questionnaire distributed via Google Forms. The survey was designed predominantly using a Likert scale format to capture responses on a structured basis. The questionnaire was validated by subject experts to ensure its relevance and accuracy. In total, 170 responses were collected, after distributing the questionnaire link, which consisted of 20 questions divided into four sections. We found that, most of the participants believe that AI could be useful in diagnosis and treatment planning and could revolutionize dentistry in general. 68.9% of the respondents agree and 31.1% strongly agree that AI increases the speed of cephalometric diagnosis, and interestingly, the primary source of information about AI tools for most orthodontic postgraduates appears to be academic literature and journal articles. A significant number of respondents believe that AI will eventually replace traditional manual and semi-automatic analyses of cephalometric images. We come to conclude that, although knowledge regarding AI application in Cephalometrics seems to be fair among the respondents, many of them have not used AI tools. Many agree that AI improves speed and accuracy. Significant number of respondents are enthusiastic to explore more about AI.
Keywords: AI, Knowledge, Attitude, Orthodontic Postgraduate Students, Questionnaire.
How to cite this article: Garimella M, Sadhunavar T, Knowledge And Attitudes Of Karnataka Orthodontic Postgraduates Toward AI In Cephalometric Analysis: A Questionnaire Survey. Int J Drug Deliv Technol. 2026;16(2s): 271-275; DOI: 10.25258/ijddt.16.271-275