Published Paper Details:

ABSTRACT Background Artificial Intelligence (AI) has emerged as a transformative technology in modern healthcare, including dentistry. AI systems have demonstrated potential in assisting with diagnosis, radiographic interpretation, treatment planning, and prediction of treatment outcomes. However, the level of awareness, perception, and clinical exposure to AI among dental professionals remains variable. Aim The present study aimed to evaluate the knowledge, attitude, and practice related to Artificial Intelligence in dentistry among dental students and practitioners. Methods A cross-sectional questionnaire-based study was conducted among 112 dental students and practitioners. A structured and pre-validated questionnaire consisting of four sections--demographic data, knowledge, attitude, and practice regarding AI in dentistry--was distributed. Data were analyzed using descriptive statistical methods and presented as frequencies and percentages. Results Among the participants, 75% were female, while 18.75% were male. Undergraduate students constituted the largest proportion (46.5%), followed by interns (40%). A majority (85%) were aware that AI could be integrated with CBCT and OPG for automated radiographic interpretation. About 70% believed AI could assist in early detection of dental problems. Positive attitudes toward AI-based treatment simulations and outcome prediction were reported by more than half of the respondents. Regarding practice, 68.8% reported using AI-based tools in dental learning or clinical work, while 80.3% used AI tools for research activities. Conclusion The study findings indicate that dental students and practitioners possess moderate to good knowledge and a generally positive attitude toward Artificial Intelligence in dentistry. However, structured training and formal education regarding AI applications remain limited. Incorporating AI education into dental curricula may facilitate effective adoption of AI technologies in dental practice.