Evidence map›Paper›PMID 41385599›Full record

ArticlePloS one2025

Knowledge, attitudes and practices toward artificial intelligence among pediatricians in India: A cross-sectional web-based nationwide survey.

Manasvi Tyagi, Rohit Ravi, Suchetha Sudesh Rao, Nutan Kamath, Santhosh T Soans

Abstract read
In one paragraph

Article in PloS one, 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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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Manasvi TyagiDept. of Pediatrics, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Rohit RaviDepartment of Audiology and Speech Language Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Suchetha Sudesh RaoDept. of Pediatrics, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.
Nutan KamathDept. of Pediatrics, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0003-4458-3634
Santhosh T SoansDepartment of Pediatrics, AJ institute of Medical Sciences, Mangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) is rapidly advancing in healthcare and has the potential to transform patient care. This study aimed to assess the knowledge, attitudes, and practices (KAP) regarding AI among pediatricians in India.

methodsA cross-sectional, web-based nationwide survey was conducted, with participants recruited via pediatric WhatsApp groups between 23 March, 2024 to 1 April 2024. A validated 25-item questionnaire, comprising multiple-choice, open-ended, yes/no, and five-point Likert scale questions, was administered using Google Forms. Descriptive statistics were used to summarize responses.

resultsA total of 116 pediatricians participated in the survey. The calculated sample size for the study was 114. As we had 116 responses on day 10, the survey was withdrawn accounting to a response rate of 6.7%. Most participants (91.4%) understood the concept of AI; however, only 33.6% were familiar with AI applications in pediatric practice. The majority (83.6%) anticipated the integration of AI in pediatrics within the next decade, and 90.5% expressed interest in learning more about AI applications. Notably, 25.9% reported concerns regarding AI use, and 48.3% perceived their workplaces as currently not adequately equipped to implement AI tools. Commonly used AI tools included ChatGPT, Canva AI, Neonatal AI, Google AI, Trusted Computing Base (TCB), and Voicera.

conclusionWhile awareness of AI and its potential impact was high, knowledge and formal training were limited. Nevertheless, there was considerable enthusiasm among pediatricians to acquire further knowledge and adopt AI applications in their practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelPediatriciansPediatricsAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIndiaInternetMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID41385599
PMCPMC12700364

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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.