Dr. Sergey Morozov, PhD, and Dr. Erik Ranschaert, PhD

Artificial Intelligence
Why Europeans must care more about AI, machine learning
In this digital era, new types of businesses related to artificial intelligence (AI) are emerging in several areas of healthcare. Radiologists, in particular, are vulnerable to the growth of automation, write Drs. Sergey Morozov and Erik Ranschaert.
September 5, 2017
2017 05 09 11 15 29 355 Cyber Informatics 400
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MRI safety and radiation-induced cancer risks dominate in 2025
MRI safety topics, along with the risk of cancer caused by overuse of CT, remain central themes for the European medical imaging community, according to our list of top 10 articles.
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Who's bidding for glory at the ESR's 2026 election?
Dysplastic glenoid tubercle predisposing patient to recurrent dislocations.
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Is imaging always needed for recurring shoulder dislocations?
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Take charge of work patterns and look after each other
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MRI safety and radiation-induced cancer risks dominate in 2025
By Philip Ward
MRI safety topics, along with the risk of cancer caused by overuse of CT, remain central themes for the European medical imaging community, according to our list of top 10 articles.
December 18, 2025
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Who's bidding for glory at the ESR's 2026 election?
By Maryam Payne
The European Society of Radiology (ESR) has revealed the candidates for next year's election for Executive Council positions. Voting will last from 8 to 21 January.
December 17, 2025
Eu Ballot Box 400
Is imaging always needed for recurring shoulder dislocations?
By Maryam Payne
A comprehensive audit has shed light on the optimum use of imaging in patients with recurrent dislocations.
December 17, 2025
Dysplastic glenoid tubercle predisposing patient to recurrent dislocations.
Take charge of work patterns and look after each other
By Dr. Paul McCoubrie
In the absence of a magical fairy godmother, we need to take charge of our own work patterns and look after each other, writes Dr. Paul McCoubrie.
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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.
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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.
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Imaging has confirmed that endurance training by marathon runners does not appear to have long-term negative effects on the heart.
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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.
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Cardiac MRI analysis can provide useful information on epicardial adipose tissue, infarct size, microvascular obstruction, and myocardial edema.
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By Philip Ward
3D-printing allows for faster, lighter, more affordable, and highly customized prosthetic production, and the technology can help patients regain mobility.
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A smartphone is used to take an image for a 3D-printed prosthesis.
MRI proves effective for tracking results of obesity interventions
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MRI is a powerful tool to monitor skeletal muscle adaptations during lifestyle interventions for obesity, researchers noted.
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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.
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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.
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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).
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