To Investigate the Knowledge and Perceptions about AI and ML in Various Disciplines of Dentistry

Abstract

Introduction: The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has significantly impacted healthcare, including dentistry. This study investigates the knowledge and perceptions about AI and ML in various disciplines of dentistry.
Methods: A self-structured questionnaire with 23 items was developed and distributed to dental practitioners, academicians, and researchers. The questionnaire assessed socio- demographic variables, knowledge, general perceptions, and specific perceptions regarding AI and ML.
Results: The study included 130 participants, predominantly young professionals aged 25-35 (55%) from urban areas (81%), with a majority being female (69%). (72%) of respondents felt knowledgeable about AI and ML, and 95% had positive general perceptions. Significant associations were found between location and designation with various domains of AI and ML applications. While 83% of participants agreed on AI and ML's benefits in diagnostics and 84% in treatment planning, opinions on risk assessment (47%) and prognosis (45%) were more varied.
Discussion: The findings align with existing literature, indicating a positive trend in the acceptance of AI and ML in dentistry. However, mixed opinions on risk assessment and prognosis highlight areas needing further research and validation. Structured AI training in dental curricula is recommended to enhance understanding and application.
Conclusion: Dental professionals generally have positive perceptions of AI and ML, particularly in diagnostics and treatment planning. Addressing gaps through education and research will enable better utilization of AI and ML, improving patient care and clinical outcomes.