Evidence map›Paper›PMID 42444996›Full record

ArticleInternational journal of dentistry2026

Dental Students' and Educators' Perceptions Toward the Adoption of Artificial Intelligence in Dental Education: A Survey-Based Study.

Shimaa Rifaat, Balgis Gaffar, Muhammad Ali Faridi, Faraz Farooqi A, Aisha Alyousif, Taiseer Abdullah Wafai, Rakan Emad Algusier, Noha Taymour

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shimaa RifaatDepartment of Restorative Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.ORCID https://orcid.org/0000-0003-4500-2491
Balgis GaffarDepartment of Preventive Dental Sciences, College of Dentistry, Imam Abdulrahman bin Faisal University, P.O Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.ORCID https://orcid.org/0000-0001-7593-1887
Muhammad Ali FaridiDepartment of Restorative Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.ORCID https://orcid.org/0000-0002-4461-339X
Faraz Farooqi ADepartment of Dental Education, College of Dentistry, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.ORCID https://orcid.org/0000-0001-7293-3318
Aisha AlyousifCollege of Dentistry, Imam Abdulrahman bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.
Taiseer Abdullah WafaiCollege of Dentistry, Imam Abdulrahman bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.
Rakan Emad AlgusierCollege of Dentistry, Imam Abdulrahman bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.
Noha TaymourDepartment of Substitutive Dental Sciences, College of Dentistry, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia, iau.edu.sa.ORCID https://orcid.org/0000-0002-1527-638X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The integration of artificial intelligence (AI) into dentistry has the potential to transform dental education, clinical training, and research. However, the perspectives of direct stakeholders remain underexplored. This cross-sectional study aimed to describe current knowledge, perceptions, and self-reported usage patterns of AI tools among dental students and faculty at a single institution and to identify specific educational needs and barriers to curriculum integration. Methodology: A cross-sectional, questionnaire-based survey was distributed both online and in-person to dental students and educators. The survey collected demographic data and included closed-ended items addressing knowledge, perception, and attitudes toward the adoption of AI in dental education. Descriptive statistics and comparative analyses were performed to identify differences across roles, gender, and academic levels. Results: The study included 333 dental students and 55 faculty members, with a higher proportion of females (53.4%). Most participants were familiar with AI, with significant differences in knowledge levels across academic years ( Conclusion: Both dental students and faculty demonstrated high awareness and positive perceptions regarding AI use and relevance to dental education. The majority expressed strong interest in receiving formal training on AI applications through structured lectures, workshops, and courses. These findings suggest stakeholders' readiness for AI curriculum integration and indicate a need for curriculum development and establishment of ethical guidelines to support future AI integration, though the extent to which such training would influence educational or clinical outcomes remains to be investigated.

Indexed as

artificial intelligence (AI)dental curriculumdental educationdental educatorsdental students

Identifiers

PMID42444996
PMCPMC13359483

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.