ArticleRadiology research and practice2026
AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.
Article in Radiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.Radiology research and practice · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The integration of artificial intelligence (AI) into the medical imaging (MI) curriculum has been advocated by many international professional bodies. This study aimed to explore a nationwide perspective on AI incorporation in the MI curriculum. Methods: A quantitative cross-sectional survey was conducted using a self-administered questionnaire created using Google Forms. The survey focused on the perceived awareness of AI incorporation into the MI curriculum, AI in MI and its impact on service delivery. Descriptive statistics and chi-square test between institution and AI curriculum incorporation and perceived adequacy were performed using the Statistical Package for Social Sciences (SPSS) (v.26) and Excel 2019. Results: A total of 200 respondents participated, with the majority being MI students from the University of Cape Coast (77/200, 38.5%). More than half of respondents (124/200, 62.5%) indicated that AI was incorporated into the curriculum, and 87 (44%) reported receiving instruction on AI. A statistically significant correlation was found between institutional affiliation and the perception of AI incorporation and MI ( Conclusion: Respondents noted the incorporation of AI in the MI curriculum, with variations in the level of awareness of AI integration across the various institutions. Implication for Practice: The evidence presented should help prioritise faculty tutelage and integrate dedicated AI modules to ensure graduates possess the technical competencies and confidence required for safe adoption of AI in practice.
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Identifiers
What OpenQuestion holds
Registered trials
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.