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Updated: Jul 11, 2026

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Published on: February 23, 2024

Dental students' knowledge, perceptions, and educational needs regarding artificial intelligence: a multinational

Argyro Kavadella¹, Sergio E Uribe^2,3,4,5, Marco Antonio Dias da Silva^6,7,8

¹School of Dentistry, European University Cyprus, Nicosia, Cyprus. a.kavadella@euc.ac.cy.

BMC Medical Education

|February 6, 2026

Summary

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Dental students show general artificial intelligence (AI) familiarity but lack knowledge of its dental applications. Findings highlight the need for structured AI education to address knowledge gaps and prepare future dentists.

Area of Science:

Dental Education
Artificial Intelligence in Healthcare
Medical Informatics

Background:

Undergraduate dental curricula are evolving to incorporate emerging technologies.
Artificial intelligence (AI) is increasingly impacting healthcare, necessitating an understanding among future dental professionals.
Assessing dental students' current AI knowledge and perceptions is crucial for curriculum development.

Purpose of the Study:

To evaluate undergraduate dental students' awareness and understanding of artificial intelligence (AI).
To explore students' perceptions, concerns, and attitudes towards AI in dentistry.
To identify specific educational needs and preferences for AI integration in dental programs.

Main Methods:

A cross-sectional, anonymous online survey was administered to dental students globally.

Keywords:

AI curriculum Artificial intelligence ChatGPT Dental education Dentistry Educators Health education Higher education Students questionnaire Undergraduate

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Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

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Published on: February 23, 2024

The questionnaire assessed AI knowledge, perceptions, attitudes, and ethical considerations.

Data were analyzed using descriptive statistics, correlation, and ordinal logistic regression.

Main Results:

Over 500 students participated, with most expressing general AI familiarity but limited knowledge of dental applications (34.7%).
A majority supported AI education (70.3%) and felt unprepared by current curricula (53.7%).
Students recognized AI's potential benefits in diagnostics, clinical practice, and patient care, alongside concerns about skill reduction and dehumanization.

Conclusions:

Baseline data on dental students' AI knowledge and educational needs were established.
A significant gap exists between general AI awareness and understanding of its specific dental applications.
Structured, tailored AI educational programs are essential to bridge knowledge gaps and inform curriculum integration.