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Artificial Intelligence for Radiographic Image Quality: Radiographers at the Forefront
1School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu, Malaysia.
Abstract:
This editorial highlights the central role of radiographers in leading AI-driven radiographic image-quality assessment. It outlines how AI can enhance real-time feedback, support consistency, and strengthen safe, patient-centered imaging practice.
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