SPJ Publication
Innovative Journal of Medical Imaging
Open Access Short Communication

Student Perceptions of Artificial Intelligence in Radiology: Opportunities, Concerns, and Educational Implications

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* Corresponding author: Kamlesh Kumar

Copyright © 2026. The Author (s)

DOI10.62502/ijmi/v3i2art4
Pages 21–23Language ENLicenceCC BY-NC 4.0 Crossmark XML metadata
  1. Received29 Mar 2026
  2. Accepted26 May 2026
  3. Published25 Jun 2026

Abstract

Artificial intelligence (AI) is increasingly transforming radiology through advancements in image analysis, workflow optimization, and clinical decision support. As future healthcare professionals, radiology students are expected to work alongside AI-enabled technologies in clinical practice. Understanding their perceptions toward AI is therefore essential for curriculum development and workforce preparedness. This short communication explores current student perspectives regarding AI in radiology, highlighting perceived benefits, concerns, and educational needs. Most students recognize AI as a valuable tool for improving diagnostic efficiency, reducing workload, and enhancing image interpretation. However, concerns regarding job displacement, ethical issues, data privacy, and overreliance on technology remain prevalent. The findings emphasize the importance of integrating AI education into radiology curricula to ensure that graduates possess the knowledge and skills necessary to effectively collaborate with AI systems in future clinical environments.

Keywords

Artificial IntelligenceRadiology EducationRadiography StudentsMedical ImagingStudent Perception

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