Evidence map›Paper›PMID 40727275›Full record

ArticleFrontiers in artificial intelligence2025

Assessing medical students' attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia.

Dalia Alammari, Elaf Alamari, Rawan Alamri, Raneem Alharbi, Jumana Felimban, Jana Aljohani

Abstract read
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Article in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

6 authors.

Dalia AlammariDepartment of Immunology and Pathology, Faculty in Medicine Program, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.
Elaf AlamariMedicine Program, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.
Rawan AlamriMedicine Program, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.
Raneem AlharbiMedicine Program, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.
Jumana FelimbanMedicine Program, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.
Jana AljohaniMedicine Program, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ChatGPT, an advanced AI language model, has the potential to significantly enhance medical education by supporting clinical decision-making, facilitating knowledge acquisition, and improving learning outcomes. However, there remains a gap in understanding the risks and concerns surrounding the use of ChatGPT, as well as its impact on the quality of medical education in Jeddah, Saudi Arabia. This study investigates the role of ChatGPT in local medical education, offering insights into medical students' attitudes and performance concerning the integration of AI into the medical curriculum. Methods: This cross-sectional study was conducted from March to May 2024. It was approved by the institutional review board. An online survey was distributed to medical students in Jeddah to collect data on their awareness of ChatGPT and its impact on their attitudes and performance. The survey, which included 28 items across 2 sections was developed. For data analysis, Statistical Package for Social Sciences (SPSS) software (version 27.0) was used to conduct statistical analysis. Results: The final sample comprised 420 participants, of whom 84.3% had heard of ChatGPT, while 74.9% had used it prior to the study. The majority of participants were aged 18-21 (50.5%). Higher GPA and academic progression were significantly associated with greater awareness and performance related to ChatGPT. Additionally, privacy concerns, willingness to incorporate ChatGPT into learning and research, and perceptions of its ease of use were significantly correlated, with a Conclusion: The findings indicate a generally positive perception of ChatGPT among medical students, particularly as they progress in their studies. Associations were observed between ChatGPT usage and students' academic standing and attitudes toward AI. While the ease of use was appreciated, concerns regarding privacy, ethical implications, and data security were also prominent, reflecting global trends. Further longitudinal and experimental research is necessary to better understand the educational implications of ChatGPT and to ensure its responsible integration into medical curricula.

Indexed as

artificial intelligenceChatGPTeducational technologymedical educationmedical students

Identifiers

PMID40727275
PMCPMC12302260

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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.