Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis

AI chatbots provide reliable answers to breastfeeding questions, but the information can be hard to understand. While more reliable than other online sources, their accuracy and usability are still in question. Further research is necessary to facilitate the integration of advanced AI in healthcare.

Authors

Emine Özdemir (ORCID: https://orcid.org/0000-0002-0111-1672)

Institutions

Aksaray University (TR)

Publication Details

Journal: PLoS ONE
Published: 2025-03-17
DOI: https://doi.org/10.1371/journal.pone.0319782
Citations: 6
Primary Topic: Breastfeeding Practices and Influences
Type: article
Field-Weighted Citation Impact: 8.13

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article

Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis

Emine Özdemir

Mar 17, 2025

6 citations

PLoS ONE

Breastfeeding Practices and Influences

8.13

article

Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis

Emine Özdemir

March 17, 2025article en

6 citations

Abstract

PLoS ONEVol. 20(3)

Aksaray University (TR)

Openalex Percentile: Top 3%

Breastfeeding Practices and Influences

8.13

DOI Open Access PDF OpenAlex

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Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis — Emine Özdemir · PLoS ONE (2025) | TGRS Research Map | TGRS