Assessment of Dental Students' and Recent Graduates' Knowledge of Artificial Intelligence Applications in Dentistry

INTRODUCTION: Artificial intelligence (AI) is transforming dentistry by enhancing diagnostic accuracy, clinical efficiency and personalized treatment planning. This study evaluates the awareness and perceptions of AI applications among dental students and recent graduates to support AI integration in dental education and practice. MATERIALS AND METHODS: This cross-sectional study included third, fourth and fifth-year students, along with dentists who graduated within the past 5 years. A total of 452 participants completed a 26-item online survey via Google Forms between July 1 and September 1, 2024. The survey comprised demographic data and AI awareness assessment. Data were analysed using SPSS (version 21, IBM, Chicago, USA), with reliability analyses and descriptive statistics conducted. Fisher-Freeman-Halton Exact Test was used for group comparisons (p < 0.05). RESULTS: Participants were evenly distributed by academic year, predominantly female and aged 20-30. No significant differences were found between educational levels and gender. Most participants acknowledged AI's transformative potential but did not view it as an immediate threat. Fourth-year students disagreed with 'I see AI as a partner, not a competitor' (p < 0.05). Similarly, recent graduates strongly opposed concerns regarding AI replacing dentists, while fourth-year students expressed higher agreement (p < 0.05). Most participants supported integrating AI education into undergraduate curricula. CONCLUSION: This study highlights dental students' and recent graduates' perceptions of AI in dentistry. While AI's potential is widely recognized, its presence in dental curricula remains limited. These findings emphasize the need for comprehensive educational programmes to facilitate AI integration in dental practice.

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Publication Details

Journal
European Journal Of Dental Education
Published
2026-10-14
DOI
https://doi.org/10.1111/eje.70323
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Assessment of Dental Students' and Recent Graduates' Knowledge of Artificial Intelligence Applications in Dentistry

Pınar Meriç, Burcu Kanmaz, Tuğba Ayvacı
European Journal Of Dental Education
Artificial Intelligence in Healthcare and Education
article

Assessment of Dental Students' and Recent Graduates' Knowledge of Artificial Intelligence Applications in Dentistry

Pınar Meriç, Burcu Kanmaz, Tuğba Ayvacı
article en

Abstract

INTRODUCTION: Artificial intelligence (AI) is transforming dentistry by enhancing diagnostic accuracy, clinical efficiency and personalized treatment planning. This study evaluates the awareness and perceptions of AI applications among dental students and recent graduates to support AI integration in dental education and practice. MATERIALS AND METHODS: This cross-sectional study included third, fourth and fifth-year students, along with dentists who graduated within the past 5 years. A total of 452 participants completed a 26-item online survey via Google Forms between July 1 and September 1, 2024. The survey comprised demographic data and AI awareness assessment. Data were analysed using SPSS (version 21, IBM, Chicago, USA), with reliability analyses and descriptive statistics conducted. Fisher-Freeman-Halton Exact Test was used for group comparisons (p < 0.05). RESULTS: Participants were evenly distributed by academic year, predominantly female and aged 20-30. No significant differences were found between educational levels and gender. Most participants acknowledged AI's transformative potential but did not view it as an immediate threat. Fourth-year students disagreed with 'I see AI as a partner, not a competitor' (p < 0.05). Similarly, recent graduates strongly opposed concerns regarding AI replacing dentists, while fourth-year students expressed higher agreement (p < 0.05). Most participants supported integrating AI education into undergraduate curricula. CONCLUSION: This study highlights dental students' and recent graduates' perceptions of AI in dentistry. While AI's potential is widely recognized, its presence in dental curricula remains limited. These findings emphasize the need for comprehensive educational programmes to facilitate AI integration in dental practice.

European Journal Of Dental Education
Dokuz Eylül University (TR), Ege University (TR)
Good health and well-being, Quality education
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
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