# Artificial Intelligence for Radiographic Image Quality: Radiographers at the Forefront

**Authors:** Kamarul Amin Abdullah

PMC · DOI: 10.1002/jmrs.70050 · Journal of Medical Radiation Sciences · 2025-12-12

## TL;DR

The paper discusses how radiographers can lead in using AI to improve the quality of radiographic images and patient care.

## Contribution

It emphasizes the novel role of radiographers in integrating AI for real-time feedback and consistent imaging practices.

## Key findings

- AI can provide real-time feedback to improve radiographic image quality.
- AI integration supports consistency and safety in patient-centered imaging.
- Radiographers are positioned as key leaders in AI-driven imaging practices.

## 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.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12950511/full.md

## References

12 references — full list in the complete paper: https://tomesphere.com/paper/PMC12950511/full.md

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Source: https://tomesphere.com/paper/PMC12950511