J Oral Med Oral Surg
Volume 29, Number 2, 2023
|Number of page(s)||12|
|Published online||10 July 2023|
Original Research Article
Knowledge, attitude, and perception of dentists regarding the role of Artificial Intelligence and its applications in Oral Medicine and Radiology: a cross sectional study
Department of Oral Medicine and Radiology, KAHER's KLE Vishwanath Katti Institute of Dental Sciences, Constituent Unit of KLE Academy of Higher Education and Research, Nehru Nagar, 590010, Belagavi, Karnataka, India
2 Department of Oral Medicine, Radiology and Special Care Dentistry, Saveetha Dental College and Hospitals (Saveetha Institute of Medical and Technical Sciences − SIMATS), 162, Poonamalle High Road, Chennai, Tamil Nadu, India
* Correspondence: email@example.com
Accepted: 13 April 2023
Background and objective: There is a paradigm shift in the medical and dental fields due to the introduction of artificial intelligence (AI). Since AI has a potential impact on current and future practitioners, understanding the basic concept, working principle, and likely applications of AI as a diagnostic tool in Oral Medicine and Radiology is necessary for its widespread use. Therefore, this study aims to assess the knowledge, attitude, and perception of dental students and dentists regarding the possible applications of AI in the field of Oral Medicine and Radiology. Materials and methods: This was a cross-sectional questionnaire-based study comprising 15 questions circulated through Google Forms® to 460 dental students and professionals. The questionnaire collected demographic data of participants and assessed their knowledge, perception, and attitude about AI in Oral Medicine and Radiology answered using a 5-point Likert scale. Responses obtained were statistically analyzed using descriptive statistics and a chi-square test. Results: Out of 460 participants, majority had an idea about AI (94.13%) and its working principle (73.30%). Participants agreed that AI can be used in the diagnosis and formulating of treatment plans (88.47%), early detection of cancer (77.82%), forensic dentistry (74.13%), and as a prognostic (80.65%) and quality control tool (81.30%). A majority felt that AI should be incorporated into the dental curriculum (92.39%) and most of them were against suggesting AI in clinical incorporation (35.87%) with a fear that AI might replace the clinician in the future (76.52%). Conclusion: Based on the findings of the study, we strongly recommend that further research and insights into AI should be delivered through lectures, curricular courses, and scientific meetings to explore and increase awareness about this fascinating technology.
Key words: Artificial intelligence / oral medicine / deep learning / machine learning / attitude-perception
© The authors, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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