RPS 1105 - Artificial intelligence and planet radiology: the green machine

How do radiology department carbon footprints contribute to climate change?

AI-driven green gains: Enhancing efficiency with environmental benefits in Imaging

Balancing Sustainability and Performance: Evaluating Energy Use, Carbon Footprint and Task Performance of Locally run Large Language Models for Radiology Report Simplification

Greenhouse gas emissions due to long-term data storage of reformatted CT series and strategies for mitigation

Ultrasound's Hidden Environmental Cost: Linens and Disposables

CT's Carbon Footprint: Energy and Disposables

The Environmental Cost of MRI: A Life Cycle Assessment

AI-Powered MRI: Time, Energy, and Emission Savings for a Greener Future

Automated scout-image based estimation of contrast agent dosing: a deep learning approach

Non-contrast Cine cardiac magnetic resonance-based radiomics for detecting left ventricular LGE in non-ischemic dilated cardiomyopathy

Cross-Modality Image Conversion from non-contrast Cardiac Magnetic Resonance to contrast-enhanced Computed Tomography Angiography using Diffusion Models

Diffusion Model for Non-contrast MR to Aid Diagnosis of Focal Liver Lesions: A Multi-Center Study