Evidence map›Paper›PMID 40496849›Full record

ArticleAdvances in medical education and practice2025

Factors Influencing the Adoption of Artificial Intelligence Among Medical and Dental Students: A Cross-Sectional Study at the University of Jordan.

Mahmoud Abdallat, Jehad Feras AlSamhori, Abdel Rahman Feras AlSamhori, Maya Jamal Kawwa, Sarah Hani Labadi, Ahmad Feras AlSamhori, Hala Hayel Shnekat, Shahem Abdallat, Rand Murshidi

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Article in Advances in medical education and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

9 authors.

Mahmoud Abdallat *Department of Neurosurgery, University of Jordan, Amman, Jordan.
Jehad Feras AlSamhori *Faculty of Medicine, the University of Jordan, Amman, 11942, Jordan.ORCID 0000-0002-4878-7362
Abdel Rahman Feras AlSamhoriFaculty of Medicine, the University of Jordan, Amman, 11942, Jordan.
Maya Jamal KawwaFaculty of Medicine, European University, Tbilisi, Georgia.
Sarah Hani LabadiFaculty of Medicine, the University of Jordan, Amman, 11942, Jordan.ORCID 0009-0007-5093-170X
Ahmad Feras AlSamhoriFaculty of Medicine, the University of Jordan, Amman, 11942, Jordan.
Hala Hayel ShnekatFaculty of Dentistry, University of Jordan, Amman, 11942, Jordan.
Shahem AbdallatFaculty of Medicine, Xavier University, Aruba, Cincinnati, OH, USA.
Rand MurshidiDepartment of Dermatology, School of Medicine, University of Jordan, Amman, Jordan.ORCID 0000-0002-1376-6238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is being rapidly adapted in the medical fields due to its ability in enhancing diagnosis and patient care. Recent data reported that students showed positive attitude and moderate knowledge while some had concerns regarding ethical perspective. Therefore, the goal of this study is to examine the variables affecting attitudes, awareness, and comprehension of AI. Methods: A cross-sectional investigation between November 2022 and March 2023 was performed. It utilized survey with five sections that addressed demographics, technological background, attitude, awareness, and AI comprehension. SPSS was utilized to run descriptive analysis, the Mann-Whitney Results: The questionnaire was completed by 517 medical and 283 dental students. Pre-clinical students were the most in both groups (84.1%). Medical students were significantly more likely to have taken AI-related courses before (OR: 1.436, 95% CI: 1.007-2.046). The multivariate analysis showed that AI-related courses and prior programming experience were significantly positive factors for the medical students' awareness and understanding of AI among the medical group. While prior programming experience was also significantly a positive factor for the dental students' awareness and understanding of AI among the medical group. Conclusion: As the role of AI in healthcare is improving, there is an obvious call to prepare students for adopting integration with AI technology equipped with both technical competencies and the ethical considerations that are tied to AI applications.

Indexed as

AI adoptionartificial intelligenceattitudedental educationmedical educationUniversity of Jordan

Identifiers

PMID40496849
PMCPMC12151079

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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.