Radiation Dose Optimisation Through Artificial Intelligence ( <scp>AI</scp> )‐based Auto‐Thorax Collimation

AI-based collimation provides collimation results similar to manual performance, with improved standardisation and reproducibility. Its consistent output suggests potential benefits in high-turnover environments, enhancing workflow efficiency whilst optimising radiation safety.

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Publication Details

Journal
Journal of Medical Radiation Sciences
Published
2026-03-27
DOI
https://doi.org/10.1002/jmrs.70088
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Radiation Dose Optimisation Through Artificial Intelligence ( AI )‐based Auto‐Thorax Collimation

D J Lee, Christopher M. Hayre, Richard Knight, Nicole Chan
Journal of Medical Radiation Sciences
Digital Radiography and Breast Imaging
article

Radiation Dose Optimisation Through Artificial Intelligence ( AI )‐based Auto‐Thorax Collimation

D J Lee, Christopher M. Hayre, Richard Knight, Nicole Chan
article en

Abstract

AI-based collimation provides collimation results similar to manual performance, with improved standardisation and reproducibility. Its consistent output suggests potential benefits in high-turnover environments, enhancing workflow efficiency whilst optimising radiation safety.

Journal of Medical Radiation Sciences
Monash Health (AU), Monash University (AU)
Openalex Percentile: Top 4%
Digital Radiography and Breast Imaging
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