Evidence map›Paper›PMID 36619510›Full record

ArticleFrontiers in pediatrics2022

Knowledge, attitudes, and practices towards artificial intelligence among young pediatricians: A nationwide survey in France.

Emma Perrier, Mahmoud Rifai, Arnaud Terzic, Constance Dubois, Jérémie F Cohen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Emma PerrierChild Neurological Rehabilitation Unit and Learning Disorders Reference Centre, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Mahmoud RifaiPediatric Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Hôpital Raymond-Poincaré, Université Paris-Saclay, Paris, France.
Arnaud TerzicPediatric Intensive Care and Neonatal Medicine, Assistance Publique - Hôpitaux de Paris, Hôpital Bicêtre, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Constance DuboisCentre of Research in Epidemiology and Statistics, Inserm UMR 1153, Université Paris Cité, Paris, France.
Jérémie F CohenCentre of Research in Epidemiology and Statistics, Inserm UMR 1153, Université Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the knowledge, attitudes, and practices (KAP) towards artificial intelligence (AI) among young pediatricians in France. Methods: We invited young French pediatricians to participate in an online survey. Invitees were identified through various email listings and social media. We conducted a descriptive analysis and explored whether survey responses varied according to respondents' previous training in AI and level of clinical experience (i.e., residents vs. experienced doctors). Results: In total, 165 French pediatricians participated in the study (median age 27 years, women 78%, residents 64%). While 90% of participants declared they understood the term "artificial intelligence", only 40% understood the term "deep learning". Most participants expected AI would lead to improvements in healthcare (e.g., better access to healthcare, 80%; diagnostic assistance, 71%), and 86% declared they would favor implementing AI tools in pediatrics. Fifty-nine percent of respondents declared seeing AI as a threat to medical data security and 35% as a threat to the ethical and human dimensions of medicine. Thirty-nine percent of respondents feared losing clinical skills because of AI, and 6% feared losing their job because of AI. Only 5% of respondents had received specific training in AI, while 87% considered implementing such programs would be necessary. Respondents who received training in AI had significantly better knowledge and a higher probability of having encountered AI tools in their medical practice ( Conclusion: In this survey, most young French pediatricians had favorable views toward AI, but a large proportion expressed concerns regarding the ethical, societal, and professional issues linked with the implementation of AI.

Indexed as

artificial intelligenceknowledge - attitude - behaviormachine learningpediatricssurvey

Identifiers

PMID36619510
PMCPMC9816325

What OpenQuestion holds

Textmetadata
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.