Title
Assessment of dentists' knowledge, attitude and practice regarding artificial intelligence in periodontics
Authors
S.H Bharathi*, B Mohammed Ismail, K. Hanumantha Kumar, K Sadananda, B Radhika & Shweta Halemani
Affiliation
Department of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India; *Corresponding author
S.H Bharathi - E-mail: bharathish70@gmail.com
B. Mohammed Ismail - E-mail: Ismail2220333@gmail.com
K. Hanumantha Kumar - E-mail: Kumarkaladi73@gmail.com
K. Sadananda - E-mail: sadaperio@gmail.com
B Radhika - E-mail: samanyuh@gmail.com
Shweta Halemani - E-mail: halemanishweta@gmail.com
Article Type
Research Article
Date
Received May 1, 2026; Revised May 31, 2026; Accepted May 31, 2026, Published May 31, 2026
Abstract
Artificial intelligence is rapidly transforming periodontal diagnosis, treatment planning and patient management; however, its adoption among dental professionals remains limited. Therefore, it is of interest to evaluate the knowledge, attitude and practice of dentists regarding artificial intelligence in periodontics among 800 participants recruited through stratified random sampling from January to June 2024. Data were collected using a structured, pre-validated questionnaire and analyzed using descriptive statistics, chi-square test and ANOVA. Although 75% of participants were aware of artificial intelligence and 80% expressed willingness to adopt it, only 25% reported its actual use in clinical practice, with concerns regarding data privacy and professional displacement noted in 40% of respondents. A significant gap exists between positive perception and clinical implementation, highlighting the need for targeted education, ethical guidelines and improved accessibility to artificial intelligence technologies in periodontics.
Keywords
Artificial intelligence (AI); periodontics; knowledge; attitude; practice; dental education; digital dentistry
Citation
Bharathi et al. Bioinformation 22(5): 2712-2717 (2026)
Edited by
Hiroj Bagde
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
