Evidence map›Paper›PMID 38649951›Full record

ArticleBMC medical education2024

Perceptions and attitudes of dental students and dentists in South Korea toward artificial intelligence: a subgroup analysis based on professional seniority.

Hui Jeong, Sang-Sun Han, Hoi-In Jung, Wan Lee, Kug Jin Jeon

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

23 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Global Trends in the Use of Artificial Intelligence in Dental Education: A Bibliometric Analysis.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 at 3 institutions in 1 country.

Hui Jeong *Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea.
Sang-Sun Han *Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea.
Hoi-In JungDepartment of Preventive Dentistry & Public Oral Health, Yonsei University College of Dentistry, Seoul, South Korea.
Wan LeeDepartment of Oral and Maxillofacial Radiology, Wonkwang University College of Dentistry, Iksan, South Korea.
Kug Jin JeonDepartment of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea. DENTJEON@yuhs.ac.
Yonsei University · KRYonsei University College of DentistryWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored dental students' and dentists' perceptions and attitudes toward artificial intelligence (AI) and analyzed differences according to professional seniority.

methodsIn September to November 2022, online surveys using Google Forms were conducted at 2 dental colleges and on 2 dental websites. The questionnaire consisted of general information (8 or 10 items) and participants' perceptions, confidence, predictions, and perceived future prospects regarding AI (17 items). A multivariate logistic regression analysis was performed on 4 questions representing perceptions and attitudes toward AI to identify highly influential factors according to position, age, sex, residence, and self-reported knowledge level about AI of respondents. Participants were reclassified into 2 subgroups based on students' years in school and 4 subgroups based on dentists' years of experience. The chi-square test or Fisher's exact test was used to determine differences between dental students and dentists and between subgroups for all 17 questions.

resultsThe study included 120 dental students and 96 dentists. Participants with high level of AI knowledge were more likely to be interested in AI compared to those with moderate or low level (adjusted OR 24.345, p < 0.001). Most dental students (60.8%) and dentists (67.7%) predicted that dental AI would complement human limitations. Dental students responded that they would actively use AI in almost all cases (40.8%), while dentists responded that they would use AI only when necessary (44.8%). Dentists with 11-20 years of experience were the most likely to disagree that AI could outperform skilled dentists (50.0%), and respondents with longer careers had higher response rates regarding the need for AI education in schools.

conclusionsKnowledge level about AI emerged as the factor influencing perceptions and attitudes toward AI, with both dental students and dentists showing similar views on recognizing the potential of AI as an auxiliary tool. However, students' and dentists' willingness to use AI differed. Although dentists differed in their confidence in the abilities of AI, all dentists recognized the need for education on AI. AI adoption is becoming a reality in dentistry, which requires proper awareness, proper use, and comprehensive AI education.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDentistsStudents, DentalAdultFemaleHumansMaleRepublic of KoreaSurveys and QuestionnairesYoung AdultArtificial intelligenceAttitudeDental studentsDentistsPerception

Identifiers

PMID38649951
PMCPMC11034023
OpenAlexW4395010405

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.