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Radiography, Research, and You

The British Institute of Radiology

Kim Mason Kim Mason, an Audit and Research Radiographer for Mid Yorkshire Teaching Hospitals Trust, talks about their role as well as the value of radiographer engagement in research activities and how to get involved. Hi, I’m Kim and I am an alternative-styled, funky-haired, septum-pierced, disabled Audit and Research Radiographer.

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Innovations in Interventional Imaging

Omega Medical Imaging

Artificial intelligence, or AI, is another game-changing technology that promises much in medical imaging. AI can process a massive number of medical images and automatically recognize radiographic characteristics. These are technologies that most use today – in some form or another.

Imaging 52
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A brief history of radiology

Radiology Cafe

after seeing the image. (2) Photoprint from radiograph by W.K. 3) In the early twentieth century, it was a common goal for investigators to try to find a way to separate the superimposed shadows that were recorded when a complex structure was shown on a radiograph. (3) 15) Radiologists needed a common means for sharing images.

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Deep learning combines breast imaging data to predict cancer prognosis

AuntMinnie

A team led by Junqi Han, MD, from the Affiliated Hospital of Qingdao University in China found that its model combining data from mammography images, ultrasound images, and other characteristics performed well in predicting disease-free survival of breast cancer.

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Emergency Guide to Stroke Neuroimaging

Northwestern EM

3] To identify a causative vascular lesion, which may or may not be amenable or contraindicatory to thrombolysis Non-Contrast Head CT NCCT is usually the first imaging modality obtained in the acute evaluation for stroke. Last Update: September 14, 2018. Last Updated: 2018. Radiographics. Filho JO, Samuels OB.