Background: Scientific discipline of artificial intelligence (AI) studies the computational understanding of intelligent behaviour as well as the development of artifacts that display this behaviour. Very limited information regarding artificial intelligence is included in the current syllabus of dental undergraduate students and hence, their perception about AI remains unclear. Aim: was to determine the attitudes and perceptions on artificial intelligence in dentistry among undergraduate dental students in South India. Materials and Methods: Four clusters based on geographic locations were formed from a list of southern colleges, with two schools selected from each via convenience sampling. A self-administered pre-validated 15-item questionnaire was mailed to 1174 undergraduate students to reach a sample size of 385. Data obtained was subjected to statistical analysis using SPSS v 25.0, IBM. Chi-square tests were used to study any association between the variables. A p-value of p < 0.05 was considered statistically significant. Results: A total sample size of 385 was attained. 12.7% were males and 87.3% were female participants. The mean attitude and perception score was 57.3. There were significant differences in the year of study with mean scores pertaining to AI’s diagnostic, treatment, prognosis and forensic dentistry applications (p<0.05). Conclusions: Majority of students strongly agreed that AI cannot replace dentists in future, but with mean scores significantly higher among final year students (X̄ = 4.36 Vs 4.05). Most of the students desired that AI applications be a part of undergraduate and postgraduate training (X̄ = 4.14 and 4.2 respectively).
No takes yet. Share an insight, caveat, or question.
Paul et al. (2025) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: