AI-Augmented Virtual Simulation for Radiography Training: A Model for Resource-Constrained Settings

AI-enhanced virtual simulation can complement physical labs and clinicals in radiography education, not replace them. A three-layer model (AI prep, lab practice, supervised placement) is proposed for resource-limited settings. Expert validation critical as AI may be inaccurate.

• Intended for radiography educators and trainees; focuses on positioning, exposure selection, and image evaluation skills.
• The model emphasizes developing capability—adapting to uncertain clinical situations—not just isolated technical competencies.
• AI-generated content may be biased or clinically unrealistic, requiring rigorous expert and psychometric evaluation before use in curricula or assessments.

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