Evidence map›Paper›PMID 32962204›Full record

ArticleChildren (Basel, Switzerland)2020

Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare.

Bryan A Sisk, Alison L Antes, Sara Burrous, James M DuBois

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
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  7. AI in pediatric surgery: a narrative review.Translational pediatrics · 2026
    Review
  8. Review
  9. Review
  10. Article
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  12. Article
  13. Parental Perception on Usage of AI Chatbot to Understand Paediatric Otorhinolaryngology Condition: A Survey.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2025
    Article
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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

4 authors.

Bryan A SiskDepartment of Pediatrics, Division of Hematology/Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-2456-2476
Alison L AntesDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Sara BurrousBrown School, Washington University, St. Louis, MO 63130, USA.
James M DuBoisDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
FOSTERING INTEGRITY AND SOCIETAL IMPACT IN GENOMICS THROUGH MANAGEMENT AND LEADERSHIP PRACTICESK01HG008990 · NHGRI · WASHINGTON UNIVERSITY · PI ANTES, ALISON L · 2016 to 2020
$599k
NCATS NIH HHS UL1 TR002345NHGRI NIH HHS K01 HG008990NHGRI NIH HHS K01HG008990
6 · The paper itself

Abstract

Precision medicine relies upon artificial intelligence (AI)-driven technologies that raise ethical and practical concerns. In this study, we developed and validated a measure of parental openness and concerns with AI-driven technologies in their child's healthcare. In this cross-sectional survey, we enrolled parents of children <18 years in 2 rounds for exploratory (

Indexed as

artificial intelligencebiomedical technologychild healthethicsmachine learningpediatricspersonalized medicineprecision medicine

Identifiers

PMID32962204
PMCPMC7552627

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.