ISSN (Online): 3048-5568
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Innovative Journal of Medical Imaging

Official Journal of AARAIS

Open Access Journal

Short Communication

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

Innovative Journal of Medical Imaging | Volume 3, Issue 2 | June 2026
Authors:
Kamlesh Kumar
Jharkhand Rai University, India
Received: Mar 29, 2026 Accepted: May 26, 2026 Published: Jun 25, 2026
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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 Intelligence, Radiology Education, Radiography Students, Medical Imaging, Student Perception

Article Information
DOI: 10.62502/ijmi/v3i2art4
Journal: Innovative Journal of Medical Imaging
Abbreviation: Innov. J. Med. Imaging
ISSN (Online): 3048-5568
Volume/Issue: 3(2)
Pages: 21-23
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How to Cite
Vancouver Style:
Kumar K. Student Perceptions of Artificial Intelligence in Radiology: Opportunities, Concerns, and Educational Implications. Innov. J. Med. Imaging 2026;3(2):21-23. doi: 10.62502/ijmi/v3i2art4
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Article Details

Article Type:
Short Communication

Volume/Issue:
3(2)

Year:
2026

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