Evidence map›Paper›PMID 41064587›Full record

ArticleFrontiers in oral health2025

Knowledge, attitudes, and practices of oral and maxillofacial surgeons towards the use of artificial intelligence in clinical practice and training: a cross-sectional study.

Bernadette Quah, Chee Weng Yong, Matthias Wei Jin Chen, Clement Wei Ming Lai, Intekhab Islam

Abstract read
In one paragraph

Article in Frontiers in oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bernadette QuahFaculty of Dentistry, National University of Singapore, Singapore, Singapore.
Chee Weng YongFaculty of Dentistry, National University of Singapore, Singapore, Singapore.
Matthias Wei Jin ChenFaculty of Dentistry, National University of Singapore, Singapore, Singapore.
Clement Wei Ming LaiFaculty of Dentistry, National University of Singapore, Singapore, Singapore.
Intekhab IslamFaculty of Dentistry, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to evaluate the knowledge, attitudes, and practices of oral and maxillofacial surgery (OMS) clinicians and trainees relating to the use of artificial intelligence (AI) within OMS practice and training. Methods: A cross-sectional survey study was conducted with OMS specialists and trainees in Singapore regarding their views on AI in OMS. The survey comprised 25 questions over five sections, and was distributed via an online survey platform. Results: 48 participants completed the survey, including 37 specialists and 11 trainees. 60.4% did not report a good understanding of AI, 52.1% were not aware of the uses of AI in OMS, and 81.3% had not had any form of AI-related training. Most felt that AI could be beneficial for diagnosis and treatment planning (72.9%) and enhancing patient outcomes (75.0%), and should be incorporated into OMS training (68.8%). While there were no differences between genders, younger participants tended towards more positive attitudes ( Conclusion: OMS specialists and trainees in Singapore generally have optimistic views toward AI, with younger respondents tending towards more positive attitudes. The levels of knowledge and practice leave room for improvement.

Indexed as

artificial intelligenceattitudeshealth care surveyshealth educationhealth knowledgeoralpracticesurgery

Identifiers

PMID41064587
PMCPMC12500638

What OpenQuestion holds

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Registered trials

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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.