Radiology reports are traditionally written for clinicians and often contain highly technical terminology. As patients increasingly access their medical records through digital platforms an
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Breast cancer screening plays a central role in reducing cancer-specific mortality, yet its expanding scope has brought unintended consequences. As imaging technologies have become more sen
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An automated imaging pipeline has been developed to support preoperative risk stratification in high-grade serous ovarian carcinoma (HGSOC) using routine contrast-enhanced CT. The approach
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Artificial intelligence has been proposed as a tool to facilitate and objectify quality assessment in mammography. Correct positioning is essential to ensure that all relevant breast tissue
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Acute deep neck infections remain clinically challenging and often require multidisciplinary management and invasive procedures. Imaging plays a central role in diagnosis and treatment plan
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Accurate clinical reference intervals underpin laboratory interpretation, yet conventional approaches rely on relatively small cohorts of confirmed healthy individuals and typically focus o
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Artificial intelligence in healthcare is often associated with futuristic clinical settings, yet its most immediate impact is unfolding in everyday life. AI-enabled tools are increasingly e
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Pulmonary segments are anatomically distinct subdivisions of the lungs defined by bronchial, arterial and venous structures rather than visible anatomical boundaries. Accurate three-dimensi
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Rapid recognition of free intraperitoneal fluid is a decisive factor in the management of abdominal trauma, where early clinical decisions often determine survival. Trauma-related deaths re
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Anatomical templates are widely used in neuroimaging to compare brain structures across individuals. They provide a shared reference that supports image registration, segmentation and popul
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