Evidence map›Paper›PMID 40989976›Full record

ArticleInternational journal of clinical pediatric dentistry2025

Does Artificial Intelligence-generated Image Exposure before the Treatment Reduce Dental Anxiety in Children Aged 6-12 Years: An Observational Study.

Shital Kiran Davangere Padmanabh, Shrushti Tusharkumar Dagli, Seema Bargale

Abstract read
In one paragraph

Article in International journal of clinical pediatric dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

3 authors.

Shital Kiran Davangere PadmanabhDepartment of Pediatric and Preventive Dentistry, College of Dental Sciences, Bhavnagar, Gujarat, India.ORCID https://orcid.org/0000-0003-2896-8446
Shrushti Tusharkumar DagliDepartment of Pediatric and Preventive Dentistry, College of Dental Sciences, Bhavnagar, Gujarat, India.ORCID https://orcid.org/0009-0006-4592-281X
Seema BargaleDepartment of Pediatric and Preventive Dentistry, K. M. Shah Dental College and Hospital, Sumandeep Vidyapeeth (Deemed to be University), Vadodara, Gujarat, India.ORCID https://orcid.org/0000-0000-0000-0002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Children commonly feel dental anxiety, and the efficacy of treatment is contingent upon the dentist's skill and capacity to establish a productive rapport with the patient. Aim: To evaluate the effect of anxiety before the extraction procedure by showing artificial intelligence (AI)-generated images and similar non-AI-generated images. Materials and methods: This observational study, conducted over a 2-month period, involved 30 children between 6 and 12 years of age. The children were divided into two groups, one exposed to non-AI-generated images and the other to AI-generated images, for 4 minutes in the waiting area, who required the extraction. Anxiety levels were measured before and after the image exposure using a pulse oximeter and the Raghvendra, Madhuri, and Sujata digital anxiety scale (RMS-DAS scale). Results: The pulse rate between the non-AI and AI groups was insignificant; however, RMS-DAS scores were significant ( Conclusion: Both AI and non-AI images demonstrated efficacy in relieving dental anxiety before the dental extraction; however, artificial intelligence images exhibited more reduction in dental anxiety. How to cite this article: Davangere Padmanabh SK, Dagli ST, Bargale S. Does Artificial Intelligence-generated Image Exposure before the Treatment Reduce Dental Anxiety in Children Aged 6-12 Years: An Observational Study. Int J Clin Pediatr Dent 2025;18(8):986-991.

Indexed as

Artificial intelligence imagesDental anxietyRMS-DAS scale

Identifiers

PMID40989976
PMCPMC12451567

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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.