Evidence map›Paper›PMID 40551097›Full record

ArticleBMC medical education2025

Perception, usage, and concerns of artificial intelligence applications among postgraduate dental students: cross-sectional study.

Susan Sarhan, Amira Badran, Dalia Ghalwash, Hadeel Gamal Almalahy, Asmaa Abou-Bakr

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. Artificial Intelligence and the future of clinical trials.Contemporary clinical trials communications · 2025
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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.

Susan SarhanOral Medicine and Periodontology, Ain Shams University in Egypt, Cairo, Egypt. susan@dent.asu.edu.eg.
Amira BadranPediatric Dentistry and Dental Public Health, Ain Shams University in Egypt, Cairo, Egypt. dr.amirasaad@dent.asu.edu.eg.
Dalia GhalwashOral Medicine and Periodontology, Faculty of Dentistry, The British University, El Sherouk City, Egypt. Dalia.ghalwash@bue.edu.eg.
Hadeel Gamal AlmalahyOral Medicine and Periodontology, Ain Shams University in Egypt, Cairo, Egypt. dr.hadeel@dent.asu.edu.eg.
Asmaa Abou-BakrOral Medicine and Periodontology, Faculty of Dentistry, Galala University, Suez, Egypt. Asmaa.AbdAlRaouf@gu.edu.eg.ORCID http://orcid.org/0000-0001-5069-8257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFuture dental applications of artificial intelligence (AI) are anticipated to be widely adopted across all dental specialities. However, there are some concerns among many users about the accuracy of the given information. Therefore, this study aimed to investigate postgraduate' dental students' perception, usage, and concerns towards AI systems' applications. MATERIALS AND

methodsAn online self-administered survey, consisting of 19 closed-ended questions in the English language, and a 3-point Likert-type scale was used to obtain a simple and straightforward response from participants in a "forced-choice" response format that was distributed to postgraduate dental students in the faculty of dentistry of multiple Universities.

resultsYounger participants and BDS holders are more likely to use AI-based software (p < 0.001), as well as showing more optimism about AI's potential to advance dentistry, whereas PhD holders are more skeptical about its integral role in healthcare (p < 0.001). Speciality influenced AI adoption significantly, with Endodontics showing the highest percentage (52.4% for 1 + years of AI usage; p = 0.006). Concerns about AI reliability and originality in research vary significantly by level of education and Speciality (p < 0.05). Younger participants show greater belief in AI's potential for major advancements in dentistry (p < 0.001).

conclusionsPostgraduate dental students generally perceive AI positively, recognizing its potential to enhance care. Usage remains moderate, with higher adoption in specialities like Endodontics and Periodontics. Concerns include AI's accuracy, ethical implications, and integration challenges, highlighting the need for further education and research. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelEducation, Dental, GraduateStudents, DentalAdultCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesYoung AdultArtificial intelligenceConcernsDental studentsPerceptionUsage

Identifiers

PMID40551097
PMCPMC12186392

What OpenQuestion 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 OpenQuestion graph.