Evidence map›Paper›PMID 38397353›Full record

ArticleChildren (Basel, Switzerland)2024

Integrating Artificial Intelligence in Pediatric Healthcare: Parental Perceptions and Ethical Implications.

Elena Camelia Berghea, Marcela Daniela Ionescu, Radu Marian Gheorghiu, Iulia Florentina Tincu, Claudia Oana Cobilinschi, Mihai Craiu, Mihaela Bălgrădean, Florian Berghea

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  10. [Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
    Review
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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

8 authors.

Elena Camelia Berghea"Marie S. Curie" Emergency Children's Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 041451 Bucharest, Romania.ORCID 0000-0001-9522-8363
Marcela Daniela Ionescu"Marie S. Curie" Emergency Children's Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 041451 Bucharest, Romania.ORCID 0000-0002-7873-9230
Radu Marian GheorghiuNational Institute for Mother and Child Health "Alessandrescu-Rusescu", Carol Davila University of Medicine and Pharmacy, 041249 Bucharest, Romania.ORCID 0000-0001-7215-3784
Iulia Florentina TincuDr. Victor Gomoiu Clinical Children Hospital, Carol Davila University of Medicine and Pharmacy, 022102 Bucharest, Romania.ORCID 0000-0002-4133-5726
Claudia Oana CobilinschiSfanta Maria Clinica Hospital, Carol Davila University of Medicine and Pharmacy, 011172 Bucharest, Romania.
Mihai CraiuNational Institute for Mother and Child Health "Alessandrescu-Rusescu", Carol Davila University of Medicine and Pharmacy, 041249 Bucharest, Romania.ORCID 0000-0001-6194-6797
Mihaela Bălgrădean"Marie S. Curie" Emergency Children's Clinical Hospital, Carol Davila University of Medicine and Pharmacy, 041451 Bucharest, Romania.ORCID 0000-0003-3188-0330
Florian BergheaSfanta Maria Clinica Hospital, Carol Davila University of Medicine and Pharmacy, 011172 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study aimed to explore the way artificial intelligence (AI) utilization is perceived in pediatric medicine, examining its acceptance among patients (in this case represented by their adult parents), and identify the challenges it presents in order to understand the factors influencing its adoption in clinical settings.

methodsA structured questionnaire was applied to caregivers (parents or grandparents) of children who presented in tertiary pediatric clinics.

resultsThe most significant differentiations were identified in relation to the level of education (e.g., aversion to AI involvement was 22.2% among those with postgraduate degrees, 43.9% among those with university degrees, and 54.5% among those who only completed high school). The greatest fear among respondents regarding the medical use of AI was related to the possibility of errors occurring (70.1%).

conclusionsThe general attitude toward the use of AI can be considered positive, provided that it remains human-supervised, and that the technology used is explained in detail by the physician. However, there were large differences among groups (mainly defined by education level) in the way AI is perceived and accepted.

Indexed as

artificial intelligenceattitudeethicsmedicinepediatric

Identifiers

PMID38397353
PMCPMC10887612

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.