Evidence map›Paper›PMID 41068696›Full record

ArticleBMC medical education2025

Attitudes and perceptions of dental students towards artificial intelligence.

Oadi N Shrateh, Siwar Al-Batat, Ahmad R Al-Qudimat, Lara I Ghannam, Lina J Abuhanoud

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Assessing the Credibility of ChatGPT on Temporomandibular Disorders.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
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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

5 authors.

Oadi N ShratehFaculty of Medicine, Al-Quds University, Jerusalem, Palestine. Oadi.nawaf97@gmail.com.ORCID http://orcid.org/0000-0001-7532-1544
Siwar Al-BatatFaculty of Dentistry, Arab American University, Ramallah, Palestine.
Ahmad R Al-QudimatDepartment of Surgery, Surgical Research Section, Hamad Medical Corporation, Doha, Qatar.ORCID http://orcid.org/0000-0003-1161-7244
Lara I GhannamFaculty of Dentistry, Al-Quds University, Jerusalem, Palestine.
Lina J AbuhanoudFaculty of Dentistry, Al-Quds University, Jerusalem, Palestine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) is rapidly transforming healthcare, including dentistry, through its applications in diagnosis, prosthetic planning, and oral disease detection. As future professionals, dental students play a vital role in integrating AI into clinical practice. However, little is known about their attitudes toward AI, particularly in low-resource settings such as Palestine.

methodsA cross-sectional survey was conducted among 305 dental students from four Palestinian universities using a validated 22-item questionnaire. Data were analyzed using descriptive statistics and chi-square tests (p < 0.05).

resultsAmong the 305 participants (232 females, 73 males), 77% reported basic knowledge of AI, with social media being the most common source (66.2%). Female students were significantly more likely than males to believe that AI will bring major advancements to dentistry (p = 0.04), and that it can be used for diagnostic (p = 0.030), prognostic (p = 0.045), and treatment planning purposes (p = 0.015), as well as in postgraduate training (p = 0.017). Those with prior AI knowledge or awareness of its dental applications showed greater enthusiasm for its diagnostic use (p = 0.004) and integration into dental education (p = 0.004 and p = 0.009, respectively).

conclusionPalestinian dental students demonstrate strong awareness and positive attitudes toward the use of AI in dentistry. Gender-based differences and ethical concerns emphasize the need for structured, inclusive, and responsible AI training within dental curricula.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelStudents, DentalAdultCross-Sectional StudiesEducation, DentalFemaleHumansMaleMiddle EastSurveys and QuestionnairesYoung AdultArtificial intelligenceAttitudesDental educationDental studentsPalestine

Identifiers

PMID41068696
PMCPMC12512535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.