Skip to content
Review Open access

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

Oct 2026 · European journal of dental education · 0 citations · 20 references
Medicine

TL;DR

While AI's potential is widely recognized, its presence in dental curricula remains limited and the findings emphasize the need for comprehensive educational programmes to facilitate AI integration in dental practice.

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.

Read PDF

Similar papers

Open access Sep 2026

Dentists' perception of Artificial Intelligence in Clinical Dentistry: a cross-sectional study in Karachi, Pakistan

Introduction: Artificial intelligence (AI) is increasingly transforming clinical dentistry by supporting diagnostic assessment, treatment planning, workflow optimization, and patient management. Objective: To assess knowledge, perceptions, attitudes, and concerns of dentists regarding the application of artificial int...

A. Bilgrami, A. Qureshi, Maira Alexander et al. · 0 citations
Review Open access Oct 2026

Evaluating the Effectiveness of Artificial Intelligence (AI)-Supported Removable Partial Denture Design Tools in Dental Education.

PURPOSE/OBJECTIVES To evaluate whether an artificial intelligence (AI)-supported learning tool can enhance students' confidence, understanding, and overall experience in removable partial denture (RPD) design. The study also explored student perceptions of AI within dental education. METHODS A mixed-methods study was...

Shi-Xin Chen, L. A. Sharma, S. An · 0 citations
Review Open access 2026

The Visibility of Artificial Intelligence in Dentistry: A Comparative Analysis of Clinical Practice, Education, and Workforce Signaling

It is suggested that AI and digital technologies are represented unevenly across educational and workforce settings, highlighting an area for further study regarding how technological change is communicated across the profession.

Taylor Hernandez, Debra Hooks · 0 citations
Open access Oct 2026

Diagnostic Accuracy of Two Multimodal Artificial Intelligence Systems Versus Dental Students in Endodontic Radiographic Classification

Objectives: Multimodal artificial intelligence (AI) systems are increasingly used to support image interpretation in dentistry, but evidence regarding their diagnostic performance on endodontic radiographs remains limited. This study compared the diagnostic accuracy of two general-purpose multimodal AI systems with tha...

A. Spinelli, E. Charles, M. Gandolfi et al. · 0 citations
Open access Oct 2026

Artificial Intelligence in Dentistry: Boon or Bane? A Cross-Sectional Study Assessing Perceptions, Acceptance, and Ethical Concerns Among Dental Professionals

Background Artificial intelligence (AI) is rapidly transforming healthcare through automated data analysis, pattern recognition, clinical decision support, and workflow optimization. Dentistry has increasingly incorporated AI-based technologies into radiographic diagnosis, orthodontics, implantology, prosthodontics, or...

Kanu Pandey, Bushra Ameen Tigala · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.