Evidence map›Paper›PMID 40654484›Full record

ArticleJournal of dental sciences2025

Performance of ChatGPT in answering the oral pathology questions of various types or subjects from Taiwan National Dental Licensing Examinations.

Yu-Hsueh Wu, Kai-Yun Tso, Chun-Pin Chiang

Abstract read
In one paragraph

Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Yu-Hsueh WuDepartment of Stomatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Kai-Yun TsoDepartment of Stomatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chun-Pin ChiangDepartment of Dentistry, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: ChatGPT, a large language model, can provide an instant and personalized solution in a conversational format. Our study aimed to assess the potential application of ChatGPT-4, ChatGPT-4o without a prompt (ChatGPT-4o-P Materials and methods: A total of 280 OP MCQs were collected from Taiwan National Dental Licensing Examinations. The chatbots of ChatGPT-4, ChatGPT-4o-P Results: ChatGPT-4o-P Conclusion: In overall evaluation, ChatGPT-4o-P

Indexed as

Artificial intelligenceChatGPTDental educationOral pathology

Identifiers

PMID40654484
PMCPMC12254725

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.