Clinical AI-based MR Image Reconstruction: UK National Stakeholder Engagement

Motivation: To engage with the stakeholders in MRI to find out their opinions of the use of AI in MRI. Goal(s): To understand the experience of the manufacturer AI MRI reconstruction software implemented clinically and stakeholders' views on how much patients should be told about the use of AI. Approach: Questionnaires are being distributed to radiographers, radiologists and physicists across the UK. Results: There is mixed experience of using the software, with improvements in image quality and throughput, however all stakeholders would like more information published by the manufacturers. There is debate over how much to tell patients about the use of AI. Impact: Coherent approaches for implementation of the software can be achieved after understanding how different sites have rolled out the software, what worked well alongside the challenges. Recommendations can be provided for how to inform patients of the use of AI.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2793
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical AI-based MR Image Reconstruction: UK National Stakeholder Engagement

Marc E. Miquel, Pierre-Etienne Martin, David P. Adams, Agnieszka Peplinski
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Clinical AI-based MR Image Reconstruction: UK National Stakeholder Engagement

Marc E. Miquel, Pierre-Etienne Martin, David P. Adams, Agnieszka Peplinski
article en

Abstract

Motivation: To engage with the stakeholders in MRI to find out their opinions of the use of AI in MRI. Goal(s): To understand the experience of the manufacturer AI MRI reconstruction software implemented clinically and stakeholders' views on how much patients should be told about the use of AI. Approach: Questionnaires are being distributed to radiographers, radiologists and physicists across the UK. Results: There is mixed experience of using the software, with improvements in image quality and throughput, however all stakeholders would like more information published by the manufacturers. There is debate over how much to tell patients about the use of AI. Impact: Coherent approaches for implementation of the software can be achieved after understanding how different sites have rolled out the software, what worked well alongside the challenges. Recommendations can be provided for how to inform patients of the use of AI.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.