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Images from computed tomography (CT) colonography show segmented abdominal aortic calcification measured with semiautomated CT tool on coronal image. Within region of interest over aorta selected by user, tool automatically segments and quantifies aortic calcification (shown in blue). 

Image Credit: O’Connor S D, Graffy P M, Zea R, et al. Does nonenhanced CT-based quantification of abdominal aortic calcification outperform the Framingham Risk Score in predicting cardiovascular event sin asymptomatic adults? Radiology doi: 10.1148/radiol.2018180562. Published online Oct. 2, 2018. © RSNA.

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Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

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