Will Morton and Erik L. Ridley

Artificial Intelligence
Can radiographers adequately explain to patients about AI?
Radiographers are on shaky ground when it comes to explaining to patients about decisions aided by artificial intelligence (AI) algorithms, it seems. A new study suggests the issue may be holding back wider use of the technology.
July 7, 2022
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Medical, Legal, and Practice
Take charge of work patterns and look after each other
In the absence of a magical fairy godmother, each of us needs to take charge of our own work patterns and look after each other, writes Dr. Paul McCoubrie.
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Imaging Informatics
12 key points to remember for AI deployment
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Artificial Intelligence
Patients support AI in radiology, but not as standalone reader
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Ultrasound
Marathon training seems to have no negative impact on heart
Cardiac MRI analysis can provide useful information on epicardial adipose tissue, infarct size, microvascular obstruction, and myocardial edema.
Cardiovascular Radiology
MRI casts light on patient outcome after heart attack
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Take charge of work patterns and look after each other
By Dr. Paul McCoubrie
In the absence of a magical fairy godmother, each of us needs to take charge of our own work patterns and look after each other, writes Dr. Paul McCoubrie.
December 16, 2025
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12 key points to remember for AI deployment
By Liz Carey
The AI Working Group of the ESR has released a consensus paper about the chain of responsibility for AI as a medical device regulatory compliance issue.
December 15, 2025
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Patients support AI in radiology, but not as standalone reader
By Will Morton
Most patients support the use of AI in radiology, but they’re not ready for it to act as a standalone reader, an Irish survey has found.
December 15, 2025
Artificial Intelligence Ai Data Social
Marathon training seems to have no negative impact on heart
By Amerigo Allegretto
Imaging has confirmed that endurance training by marathon runners does not appear to have long-term negative effects on the heart.
December 15, 2025
Woman Running Paris
MRI casts light on patient outcome after heart attack
By Maryam Payne
Increased volume of fat tissue around the heart tends can be associated with greater myocardial damage after a heart attack, German researchers have reported.
December 12, 2025
Cardiac MRI analysis can provide useful information on epicardial adipose tissue, infarct size, microvascular obstruction, and myocardial edema.
3D-printed prostheses bring hope in conflict zones
By Philip Ward
3D-printing allows for faster, lighter, more affordable, and highly customized prosthetic production, and the technology can help patients regain mobility.
December 11, 2025
A smartphone is used to take an image for a 3D-printed prosthesis.
MRI proves effective for tracking results of obesity interventions
By Kate Madden Yee
MRI is a powerful tool to monitor skeletal muscle adaptations during lifestyle interventions for obesity, researchers noted.
December 10, 2025
Obesity Text2
Lung cancer screening: How Croatia does it
By Maryam Payne
The Croatian lung cancer screening program, integrated into the national system and designed for equitable access, could serve as a model for other countries.
December 10, 2025
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AI comes under scrutiny in Swedish prostate MRI study
By Philip Ward
An AI system trained in a screening population has lower specificity than radiologists using PI-RADS v2, but considerable care is vital, researchers from Gothenburg reported in European Radiology on 8 December.
December 9, 2025
Example case from test set with biparametric MRI data, reference segmentation, and output from AI system. The primary MRI assessment resulted in a PI-RADS 5 lesion in the left dorsal part of the peripheral zone and a PI-RADS 4 lesion in the right dorsal part of the peripheral zone (PSA of 11.6 μg/L). Targeted biopsies from both areas showed ISUP-grade 3. All images are from the same slice location, showing a part of both lesions. A T2-weighted (T2W) image. B Diffusion-weighted image with a b-value of 1,500 s/mm2. (C) Apparent diffusion coefficient map. (D) Reference segmentation with white areas representing tumor. (E) Softmax output from AI system. Inset in the lower left corner shows the detection map (cropped around the prostate) with red voxels representing softmax values of 0.99 and yellow voxels representing softmax values of 0.59. (F) T2W image with reference (D) and detection map (inset in E) overlayed, green represents areas in which both the reference and the AI output are positive (true positive voxels for AI), red only positive in reference (false-negative voxels for AI) and blue only segmented by AI (false-positive voxels for AI).
Molecular imaging can trigger 'next revolution' in radiology
By Amerigo Allegretto
Molecular imaging will play a key role in precision medicine, and radiology will be at the forefront in ensuring the best patient outcomes, predicts RSNA President Dr. Umar Mahmood, PhD.
December 8, 2025
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Challenging inequity: ESR group spells out why it matters
By Maryam Payne
Radiology staff must recognize how inequities in imaging affect patients from minority groups, says the ESR subcommittee on equity, diversity, and inclusivity.
December 8, 2025
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PET/MRI detects ‘unknown’ generators of musculoskeletal pain
By Will Morton
Potential pain generators were identified by increased F-18 FDG radiotracer uptake on PET and/or structural abnormalities on MRI.
December 5, 2025
Back Pain 400
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