ECR 2020 poster

Mar 6, 2019
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ML-based system predicts x-ray service times
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Johannes Wörsdörfer (left) and Fadi Matar gained firsthand experience in the world of radiology at ECR 2025. Courtesy of Johannes Wörsdörfer and DRG.
What makes medical students choose a career in radiology?
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Study: AI still not ready for routine use in mammography
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ML-based system predicts x-ray service times
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A team in Italy has developed a real-time machine-learning (ML) system that can predict x-ray service times in emergency departments.
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In an interview with the German Roentgen Society conducted at ECR 2025, medical students Fadi Matar and Johannes Wörsdörfer reveal why they're interested in radiology.
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Johannes Wörsdörfer (left) and Fadi Matar gained firsthand experience in the world of radiology at ECR 2025. Courtesy of Johannes Wörsdörfer and DRG.
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A large-scale trial on the use of mammography AI software in a breast cancer screening program has found recalls were lower when cases were flagged by AI.
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MRI departments can limit water pollution, be more energy-efficient
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At ECR 2025, Dr. Linda Moy outlined ways that radiologists working with MRI can take steps toward eco-friendly practices and limit water pollution.
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Philips showcases AI, MRI, and informatics upgrades at ECR 2025
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AI enhancements, a new MRI scanner, and cloud-based radiology informatics were among the featured highlights for Philips at ECR 2025.
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Clinical pelvis image acquired on a Ingenia Evolution 3-tesla scanner and reconstructed using Philips' SmartSpeed Precise AI-based image reconstruction technology. Image courtesy of Philips.
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