Radiology has long relied on expert annotations to enrich medical imaging data for research and training artificial intelligence systems. These annotations, created by specialists, have tra
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Accurately evaluating treatment response in patients with abdominal cancer is vital for guiding therapy and improving outcomes. Conventional imaging approaches, which rely primarily on tumo
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Prostate-specific membrane antigen (PSMA) PET imaging has become a key tool in the detection and staging of prostate cancer, offering improved diagnostic capabilities over traditional imagi
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Magnetic resonance imaging (MRI) plays a vital role in breast cancer screening by providing highly detailed anatomical and physiological images without exposing patients to ionising radiati
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Thyroid cancer has seen a global rise in incidence, contributing to a growing burden on healthcare systems and radiologists who interpret ultrasound (US) images for early detection. Traditi
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Cancer-associated cachexia (CAC) is a complex syndrome marked by irreversible muscle loss, with or without fat depletion, that cannot be remedied by nutrition alone. Affecting up to 70% of
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Colorectal cancer (CRC) remains a leading cause of cancer-related death worldwide. Despite its prevalence, CRC is largely preventable through effective screening methods. Traditionally, opt
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Effective imaging is essential in managing luminal Crohn’s disease (CD), a chronic inflammatory bowel condition marked by unpredictable relapses and remissions. The European Society of Gast
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Multimodal generative artificial intelligence is opening new frontiers in healthcare, particularly in the interpretation of complex medical imaging. While current AI tools already assist clinicians
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Accurate and timely diagnosis of acute pulmonary embolism (PE) is essential for initiating appropriate treatment and improving patient outcomes. Computed tomography angiography (CTA) has be
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