Evidence map›Paper›PMID 40636219›Full record

ArticleBioinformation2025

Effect of AI-based chatbots in promoting oral health awareness among rural populations.

Rohit Agrawal, Asim Mustafa Khan, Muhamood Moothedath, Reshma V J, Muhaseena Muhamood, Shivangee T

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

6 authors.

Rohit AgrawalDepartment of Public Health Dentistry, Government Dental College and Hospital, Jamnagar, Gujarat, India.
Asim Mustafa KhanDepartment of Biomedical dental sciences, College of dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Muhamood MoothedathDepartment of Public Health, College of Applied Medical Sciences, Qassim University, Saudi Arabia.
Reshma V JDepartment of Biomedical dental sciences, College of dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Muhaseena MuhamoodDepartment of Biomedical dental sciences, College of dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Shivangee TDepartment of Dental Surgery, MBA in Healthcare Administration at City University of Seattle, Seattle, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AI-based chatbots significantly improved oral health awareness among rural populations compared to traditional printed materials. The intervention group's knowledge scores increased from 8.5 to 16.7 (p < 0.001), while the control group showed a modest rise from 8.3 to 10.5. Inter-group analysis confirmed a significant knowledge gain (p < 0.001). Participants reported high satisfaction with the chatbot's personalized and user-friendly interface. Thus, AI chatbots offer a promising solution for scalable, accessible oral health education in underserved communities.

Indexed as

AI-based chatbotartificial intelligencedigital health interventionhealth educationoral health awarenessrural population

Identifiers

PMID40636219
PMCPMC12236569

What OpenQuestion holds

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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.