Evidence map›Paper›PMID 39346246›Full record

ArticleJournal of pharmacy & bioallied sciences2024

Knowledge and Awareness of Emotional Artificial Intelligence as Tool in Child's Oral Health Care Assessed Among Dental Professionals of Eastern India. A Cross Sectional Study.

Varsha Sharma, Mukul Sharma, Brahmananda Dutta, Anandamoy Bagchi

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2024. 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
–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

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

4 authors.

Varsha SharmaDepartment of Dentistry, AIIMS, Raebareli, Uttar Pradesh, India.
Mukul SharmaDepartment of Forensic Medicine and Toxicology, AIIMS, Raebareli, Uttar Pradesh, India.
Brahmananda DuttaDepartment of Pediatric and Preventive Dentistry, Kalinga Institute of Dental Sciences, KIIT University, Patia, Bhubaneswar, Odisha, India.
Anandamoy BagchiDepartment of Pediatric and Preventive Dentistry, Kalinga Institute of Dental Sciences, KIIT University, Patia, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the most crucial steps in providing the child's oral health care and treatment needs is modifying his/her behavior, mood and emotion in any primary care/dental home or any speciality centre. This is very important parameters for any dental professionals and paediatric dentist. Through this study we investigated the knowledge, awareness of Emotional Artificial Intelligence (AI) as tool for modifying their behaviour prior to any treatment requirement. Materials and Methods: The study was conducted among dental professionals of located in different regions of eastern India. We used a consecutive sampling method to collect our sample. Results: Out of the 120 participating dental professionals, 30% professionals believed that emotional AI could monitor a child's acceptance to treatment. Despite a low perception level of emotional AI by the dentist, 71% agreed on the beneficial effect of Emotional Artificial Intelligence (AI) in an emergency or uncooperative child if such technology exist. Conclusion: Regression model showed that certain key influencers can increase the quality of healthcare by 3 times which could favors Emotional Artificial Intelligence as an adjunct to Pediatric dentists in managing children.

Indexed as

awarenessdental homeEmotional artificial intelligenceinnovationknowledgeperceptionprimary careuncooperative behavior

Identifiers

PMID39346246
PMCPMC11426626

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.