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Knowledge and Awareness of Machine Learning and AI among Dental Undergraduate Students: A Questionnaire Survey

Year: 2025

Type: article

Abstract: A BSTRACT 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.

Source: Journal of Pharmacy And Bioallied Sciences

DOI: 10.4103/jpbs.jpbs_1528_24

Author: Pankaj Kukreja

Institution: Al Baha University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: gold

Estimated APC paid: $250