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Knowledge and Awareness of Machine Learning and AI among Dental Undergraduate Students: A Questionnaire Survey
1Department of Biomedical Dental Sciences, Faculty of Dentistry, Al-Baha University, Al-Aqiq Campus, Kingdom of Saudi Arabia.
Purpose:
This study aims to assess the knowledge and awareness of artificial intelligence (AI) and machine learning (ML) among dental undergraduate students.
Methods:
A cross-sectional questionnaire survey was conducted among 400 dental students. The questionnaire assessed demographics, knowledge, and attitudes toward AI and ML in dentistry. Descriptive statistics and Chi-square tests were used for data analysis.
Results:
The study revealed that 67% of students had heard of AI, while only 35% were familiar with ML. Clinical students had significantly higher knowledge compared to preclinical students (P < 0.01). Although 75% recognized AI's potential in dentistry, only 40% felt confident using AI without further training. 55% expressed concerns about AI replacing human dentists.
Conclusions:
The study highlights a gap in AI and ML knowledge among dental students, emphasizing the need for AI-focused education in dental curricula to better prepare students for future practice.
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