Evidence map›Paper›PMID 41541966›Full record

ArticleCureus2025

A Cross-Sectional Study to Compare AI-Generated Educational Content Using Google Gemini for Medical Professionals With UpToDate on Pediatric Asthma.

Anna Jijo, Maria Jijo, Swetha Manoj, Mira S Aridas, Chaitanya Kumar Javvaji

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Article in Cureus, 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anna JijoPediatrics, St. John's Medical College, Bangalore, IND.
Maria JijoPediatrics, Apollo Institute of Medical Sciences and Research, Hyderabad, IND.
Swetha ManojPediatrics and Neonatology, Government Medical College, Kannur, Pariyaram, IND.
Mira S AridasNeonatal and Developmental Medicine, Singapore General Hospital Outram Road, Singapore, SGP.
Chaitanya Kumar JavvajiPediatrics, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate and up-to-date educational resources are crucial for medical professionals to deliver effective patient care, particularly in conditions like pediatric asthma, which has a high disease burden in children. Timely interventions are essential to manage this condition appropriately and to ensure better outcomes. With the rapid advancement of artificial intelligence in healthcare, AI tools like Google Gemini are being explored as quick and accessible alternatives for generating medical content.  Methods: A cross-sectional observational study was conducted to focus on four core topics related to the management of pediatric asthma. Prompts for each of the core topics were entered in Google Gemini and UpToDate to generate responses. The WebFx Readability Tool was used to assess readability utilizing metrics such as Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level (FKGL), SMOG Index, word count, sentence count, words per sentence, difficult word count, and percentage. The collected data were analyzed using the Mann-Whitney U test, and a p-value of < 0.05 was considered statistically significant.

resultsWhen comparing the readability characteristics between UpToDate and Google Gemini, statistically significant differences were found, indicating that Google Gemini is more accessible for individuals with lower literacy skills. UpToDate received higher scores on the Simple Measure of Gobbledygook (SMOG) index across all four core topics, denoting it as hard to understand for the normal population. Google Gemini scored a greater difficulty word percentage across all four topics.

conclusionGoogle Gemini was found to use more complex vocabulary while still maintaining overall accessibility, making it appropriate for patients with lower literacy levels. Although certain readability parameters demonstrated Google Gemini to be a more reader-friendly tool for assessing and understanding medical content, the high percentage of difficult words may make it more challenging for younger individuals and lower socio-economic populations to access.

Indexed as

artificial intelligenceasthmaclinical decision supporteducational contentgoogle geminimedical educationuptodate

Identifiers

PMID41541966
PMCPMC12802808

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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.