Evidence map›Paper›PMID 42829766›Full record

ArticleJournal of education and health promotion2026

Artificial intelligence and its impact on oral health care education. A randomized study.

Deepika Kapoor, Sonika Achalli, Naveen Reddy, Mushir Mulla, Mohamed S Mohamed Morsy, Munaz Mulla, Arshad Jamal Sayed, M Nazargi Mahabob, Alok Dubey

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2026. 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

9 authors.

Deepika KapoorDepartment of Pedodontic and Preventive Dentistry, Luxmi Bai Institute of Dental Sciences and Hospital, Patiala, Punjab, India.
Sonika AchalliDepartment of Oral Medicine and Radiology, NITTE (Deemed to be University), AB Shetty Memorial Institute of Dental Sciences, Mangalore, Karnataka, India.
Naveen ReddyDepartment of Prosthodontics, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Mushir MullaDepartment of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
Mohamed S Mohamed MorsyDepartment of Prosthodontics, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Munaz MullaDepartment of Periodontics, Saveetha Institute of Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Arshad Jamal SayedDepartment of Periodontology and Implant Dentistry, College of Dentistry, Qassim University, Saudi Arabia.
M Nazargi MahabobDepartment of Oral and Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, King Faisal University, Al Ahsa, Kingdom of Saudi Arabia.
Alok DubeyDepartment of Preventive Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI)-generated educational materials demonstrate superior effectiveness in improving patient comprehension and reducing anxiety compared to traditional methods. Their integration into dental practice could enhance patient satisfaction and streamline the educational process, particularly for complex or anxiety-inducing procedures. The present study aimed to evaluate the act of AI applications on oral healthcare, focusing on clinical outcomes. MATERIALS AND

methodsA cluster-randomized controlled trial with 1000 participants from 20 villages (10 interventions, 10 controls) was conducted. The intervention group received 4 weeks of chatbot-guided oral health education via WhatsApp/IVR, while controls received standard health talks and leaflets. Knowledge, oral hygiene practices, and OHI-S scores were measured pre- and post-intervention.

resultsThe intervention group showed a marked rise in mean knowledge scores (9.8 to 15.2) compared to controls (10.1 to 11.3;

conclusionAI-based chatbots significantly enhance oral health awareness, hygiene practices, and clinical outcomes in rural settings, highlighting their potential for scalable public health interventions and integration into primary health programs.

Indexed as

Artificial intelligenceawarenesshealth educationoral healthoral hygienerural

Identifiers

PMID42829766
PMCPMC13633820

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.