Prof. Dr. Mathias Goyen

AI
In 2023 and beyond, AI is redefining radiology
In the field of healthcare, artificial intelligence (AI) isn't replacing humans, but is enabling people to devote more of their time to the work that only humans can do, writes radiologist Prof. Dr. Mathias Goyen.
March 30, 2023
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Yukio Miki, MD, PhD.
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MRI biomarkers poised to reshape multiple sclerosis management
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Dr. Martin Willemink, PhD.
AI
When AI and radiologists miss the same thing
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ECR 2026
GE highlights new CT, molecular imaging scanners at ECR 2026
Development of CAD in a 43-year-old male smoker, with atypical chest pain, hypercholesterolemia, and a family history of CAD. At baseline, the coronary artery calcium score was zero (A), and the coronary CT angiogram was normal (B). Noncontrast CT chest (C) 10 years later showed calcified plaques in the right coronary artery and left circumflex coronary artery.
CT
Identifying CAD risk over time: A SCOT-HEART trial analysis
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ECR 2026
Video from ECR: Saif Afat takes radiology outside the reading room
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MRI biomarkers poised to reshape multiple sclerosis management
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One session at ECR 2026 took a deeper look at the hidden layers behind medical AI: biased datasets, human perception, automation errors, and the fragile trust between radiologists and machines.
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A new photon-counting scanner and two molecular imaging systems were among the highlights for GE HealthCare at ECR 2026.
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Identifying CAD risk over time: A SCOT-HEART trial analysis
By Maryam Payne
One-third of patients with initially normal CCTA imaging developed CAD during the SCOT-HEART study’s 10-year follow-up period.
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Development of CAD in a 43-year-old male smoker, with atypical chest pain, hypercholesterolemia, and a family history of CAD. At baseline, the coronary artery calcium score was zero (A), and the coronary CT angiogram was normal (B). Noncontrast CT chest (C) 10 years later showed calcified plaques in the right coronary artery and left circumflex coronary artery.
Video from ECR: Saif Afat takes radiology outside the reading room
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At ECR 2026,  Prof. Dr. Saif Afat discussed how CT scans of ancient mummies, from Ötzi the Iceman to Egyptian pharaohs, offer surprising links between radiology, culture, and history.
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Google AI Studio shows potential for AI-based lung cancer detection
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The model identified lung malignancies and produced consistent, structured reports, but needs further refinement.
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By Claudia Tschabuschnig
MRI safety was not always on the agenda. At ECR 2026, safety expert Titti Owman reflects on four decades in the field and why clear national guidance could strengthen MRI training and safety practices across Europe.
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Ecr26 Titti Owman
The future of BI-RADS includes AI
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A presentation given at ECR 2026 outlined how AI-driven BI-RADS will further improve breast cancer risk assessment.
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Standards for transparency in reporting for studies on radiology AI are essential for robust reproducibility.
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AI-calculated BAC on mammograms predicts cardiovascular disease in women
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Video from ECR: Mathias Prokop sets the stage for AI-driven radiology
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At ECR 2026, incoming ESR President Prof. Mathias Prokop, PhD, explained how AI could reshape radiology.
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Ecr26 Robert Prokop
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