Evidence map›Paper›PMID 42340029›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2026

Comparison of different artificial intelligence tools' answers to questions related to early intervention: ChatGPT versus Gemini.

Ayşegül Yildirim, Aslıhan Turan, Hasan Gerçek, Gülhan Çaka

Abstract readComparative Study
In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 2026. 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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0citing papers 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

The trial behind it

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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

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.

Ayşegül YildirimKTO Karatay University, Vocational School of Health Sciences, Department of Child Development - Konya, Turkey.ORCID http://orcid.org/0000-0002-5903-1827
Aslıhan TuranKTO Karatay University, Faculty of Health Sciences, Department of Midwifery - Konya, Turkey.ORCID http://orcid.org/0000-0002-1635-719X
Hasan GerçekAcıbadem University, Faculty of Health Sciences, Department of Physical Therapy and Rehabilitation, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-7459-4452
Gülhan ÇakaMersin Bozyazı State Hospital, Department of Pediatric - Mersin, Turkey.ORCID http://orcid.org/0009-0001-3067-2735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to assess the quality and readability of ChatGPT and Gemini's responses to frequently asked questions about early intervention for individuals with at-risk infants.

methodsTen frequently asked questions about early intervention were selected by three researchers (a child development specialist, a physiotherapist, and a midwife) from a list generated by ChatGPT and Gemini. Questions were sent to ChatGPT version 4.0 and Gemini 1.5, and initial responses were recorded without follow-up queries. Ten independent experts (two special education specialists, two child development specialists, two physiotherapists, two midwives, and two pediatricians) The quality of ChatGPT and Gemini's responses was assessed using a four-grade rating system. Readability levels were analyzed using the Flesch-Kincaid Grade Level through WordCalc software.

resultsOne of the answers given by ChatGPT was of higher quality than Gemini (p=0.025), while one answer given by Gemini was of higher quality than ChatGPT (p=0.033). The answers to the other questions were of similar quality, with Gemini having a lower level.

conclusionThis study compares the quality and readability of the answers given by artificial intelligence-based language models to demonstrate their potential to appeal to different user groups. While the models generally provided answers of similar quality, quantitative differences in readability were observed, suggesting potential suitability for different audiences. These findings contribute to understanding the role of AI tools in health communication.

Indexed as

ComprehensionEarly Intervention, EducationalGenerative Artificial IntelligenceHumansInfantSurveys and Questionnaires

Identifiers

PMID42340029
PMCPMC13282010

What OpenQuestion holds

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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.