Evidence map›Paper›PMID 42851338›Full record

ArticleFrontiers in medicine2026

Awareness and attitudes regarding artificial intelligence in medical imaging: student perspectives from five Ghanaian universities.

Issah Zabsonre Alhassan, Abdul-Salam Issahaku, Fatahia Alidu, Mohammed Rashad Suhuyini Abdul-Bach

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Article in Frontiers in medicine, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Issah Zabsonre AlhassanDepartment of Medical Imaging, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.
Abdul-Salam IssahakuDepartment of Applied Physics, School of Physical Sciences, University of Technology and Applied Sciences, Navrongo, Ghana.
Fatahia AliduDepartment of Medical Imaging, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.
Mohammed Rashad Suhuyini Abdul-BachDepartment of Medical Imaging, School of Allied Health Sciences, University for Development Studies, Tamale, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is influencing diagnostic medical imaging practice and education. Despite this, little is known about AI use in education and practice in sub-Saharan Africa. As a first step towards informing future curriculum development, we assessed AI awareness, self-reported familiarity, and attitudes among Ghanaian diagnostic medical imaging students. Methods: This cross-sectional institution-based study in Ghana used a self-administered 21-item questionnaire to collect data from diagnostic medical imaging students ( Results: Nearly all respondents (95.3%) were aware of AI, and 85.8% had ever used an AI product. Most participants also considered AI an emerging trend in medical imaging (85.8%) and agreed that it has a net positive impact on medical imaging (76.0%). Seventy-six percent of participants supported the inclusion of AI in core medical imaging courses. In multivariable logistic regression, male gender (OR = 1.94, 95% CI: 1.07-3.51, Conclusion: Ghanaian diagnostic medical imaging students demonstrated high awareness of AI, substantial self-reported exposure to AI-enabled products or services, and generally positive attitudes toward its potential applications in medical imaging. A positive perception of AI's overall impact was associated with greater support for formal AI education. These findings indicate strong student receptiveness to AI education but should not be interpreted as evidence of objective AI knowledge or competency.

Indexed as

artificial intelligencecurriculumGhanamedical imagingradiographystudent attitudes

Identifiers

PMID42851338
PMCPMC13645695

What OpenQuestion holds

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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.