Accurate preoperative assessment of lymphovascular invasion (LVI) in rectal cancer is essential for guiding treatment strategies and improving patient outcomes. LVI is a critical factor inf
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The implementation of low-dose computed tomography (LDCT) screening has significantly improved early lung cancer detection, leading to reduced mortality in high-risk populations. Early detection...
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Artificial intelligence is transforming radiology, particularly in computed tomography (CT) and magnetic resonance imaging (MRI). AI-driven advancements are enhancing image quality, optimis
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Prostate cancer remains a significant health concern, with early and accurate detection crucial for improving patient outcomes. Magnetic resonance imaging (MRI) has become a valuable tool i
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Accurate preoperative classification of gastric cancer (GC) is essential for determining appropriate treatment strategies. The Lauren classification system categorises GC into intestinal an
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A new AI model has been developed to identify female patients at higher risk of heart disease based on their electrocardiogram (ECG). The researchers believe that this algorithm, designe
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Prostate cancer remains one of the most prevalent malignancies in men, necessitating advances in diagnostic imaging to enhance detection and treatment planning. Traditional imaging techniqu
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Predicting mortality in intensive care units (ICUs) is critical for effective patient management and resource allocation. Traditional predictive scoring systems, such as the Simplified Acut
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The European Congress of Radiology (ECR) brought together leading experts to discuss the future of radiology, focusing on innovation, patient empowerment and workflow optimisation. Bayer’s session...
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The session AI Integration in a Nutshell at the European Congress of Radiology explored key challenges and opportunities in AI adoption for medical imaging. Three experts—Willem Grootjans, Sergey...
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