Evidence map›Paper›PMID 41073971›Full record

ArticleBMC oral health2025

Can ChatGPT be trusted? Evaluating AI responses to oral health questions among pregnant Arabic-speaking women.

Khalid Talal Aboalshamat, Jomanh Humied Alnafei, Lojain Ahmed Alkhattabi, Ghadi Yaqoub Alhawsawi, Shrooq Majed Alahmadi, Shatha Omar Almalki, Afnan Anas Nassar

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Khalid Talal AboalshamatDental Public Health Division, Preventative Dentistry Department, College of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia. ktaboalshamat@uqu.edu.sa.
Jomanh Humied AlnafeiCollege of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Lojain Ahmed AlkhattabiCollege of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Ghadi Yaqoub AlhawsawiCollege of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Shrooq Majed AlahmadiCollege of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Shatha Omar AlmalkiCollege of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Afnan Anas NassarDental Public Health Division, Preventative Dentistry Department, College of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChatGPT, an artificial intelligence (AI) chatbot developed by OpenAI, is increasingly being used in healthcare, including dentistry, for patient education; this study aimed to assess the usability and quality of ChatGPT's responses to pregnancy-related oral health queries in Saudi Arabia.

methodThis two-part cross-sectional study assessed pregnant Arabic women's perceptions of ChatGPT for oral health queries and evaluated its responses using an online questionnaire. Responses from ChatGPT-4o mini were rated by 5 dental experts with regard to accuracy, clarity, relevance, and acceptance using a 5-point Likert scale.

resultsAmong the 300 participants, 42.0% (126) knew about ChatGPT, 33.7% (101) had previously used it, 14.3% (43) had used it to obtain medical information, 8.7% (26) had used it for dental information, and 8.3% (25) had used it for dental information during pregnancy. Attitudes regarding ChatGPT were rated from 1 to 4. Except for 1 item, the means were all above the midpoint. Attitude ratings ranged from a mean of 2.71 (SD 0.76) for ChatGPT competency to a mean of 2.34 (SD 0.92) for its ability to replace human interactions. However, ChatGPT competency (P = .028), security (P = .015), willingness to use ChatGPT for inquiries (P = .021), ability to assist in informed decision-making (P = .01), willingness to make decisions based on recommendations (P = .024), and persuasiveness (P = .049) were significantly different based on educational level. Pregnant women with higher levels of education rated these aspects significantly lower than those with a high school diploma or bachelor's degree.

conclusionChatGPT provided useful oral health information for pregnant individuals, but its responses required revision and supervision by health professionals. Its usage among pregnant women in Saudi Arabia remained low.

Indexed as

ArabsArtificial IntelligenceOral HealthPatient Education as TopicPregnant PeopleAdultCross-Sectional StudiesFemaleGenerative Artificial IntelligenceHumansPregnancySaudi ArabiaSurveys and QuestionnairesYoung AdultArabicArtificial intelligenceChatGPTMachine learningOral health informationPregnancy

Identifiers

PMID41073971
PMCPMC12513007

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.