Evidence map›Paper›PMID 42534816›Full record

ArticleHealth science reports2026

Attitudes and Usage of ChatGPT Among Medical and Paramedical Students in Iran: A Cross-Sectional Study.

Seyyedeh Fatemeh Mousavi Baigi, Masoumeh Sarbaz, Kosar Ghaddaripouri, Khalil Kimiafar

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In one paragraph

Article in Health science reports, 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

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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

Who cites 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

4 authors.

Seyyedeh Fatemeh Mousavi BaigiDepartment Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0002-2214-0077
Masoumeh SarbazDepartment Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0001-5456-8505
Kosar GhaddaripouriHealth Information Management Department Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0001-5817-9945
Khalil KimiafarDepartment Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0003-0351-4675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: ChatGPT, an AI-powered conversational tool, has shown potential to transform healthcare education. However, its integration poses challenges regarding usability, ethics, and critical thinking. Understanding students' attitudes and usage patterns is vital for successful adoption. The aim of this study was to translate and psychometrically validate the TAME-ChatGPT (Technology Acceptance Model Edited to Assess ChatGPT Adoption) tool into Persian and to evaluate the attitudes and usage of this technology among medical and paramedical students at Mashhad University of Medical Sciences (MUMS). Methods: This cross-sectional study was conducted over 2 months (December 21, 2024-February 21, 2025) at MUMS. A TAM-based questionnaire was administered to 246 students. The instrument was validated through forward-backward translation, content validity (CVI = 0.90), exploratory factor analysis, and reliability testing (Cronbach's alpha = 0.82-0.88). Data analysis, performed using SPSS 27, included Chi-square, Mann-Whitney U, and regression analyses. Thematic analysis was applied to qualitative responses. Results: A total of 246 students participated (response rate: 100%). Among participants, 86.6% were aware of ChatGPT, and 65.5% reported prior usage. Awareness and usage were both significantly higher among male students ( Conclusions: Students had positive attitudes toward ChatGPT's usability and potential. Addressing ethical concerns and critical thinking is essential. Tailored training and policies are required for responsible integration in healthcare education.

Indexed as

artificial intelligence, machine learning, education, technologyChatGPTlarge language models

Identifiers

PMID42534816
PMCPMC13421789

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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.