Carestream applies Artificial Intelligence to improve medical image quality. In some ways, the path to improving X-ray image quality seems pretty straightforward. There are three fundamental components of image quality: noise, sharpness, and contrast. The complexity comes from the fact that the sharpness and the noise
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AI delivers enhanced imaging and improved workflow for medical imaging. Discussions about potential applications for artificial intelligence in radiology have dominated medical imaging conferences and news headlines for years. All the noise and hype can make it hard for imaging providers to know which AI-based
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Diagnostic Imaging Providers Need to be Diligent in Evaluating New Technologies Artificial intelligence (AI) in radiology has been generating significant buzz for several years, and will inevitably play a large and vital role in the future of medical imaging. But what is the cost-benefit analysis
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The technology is not new, but the applications might be surprising. The outlook for diagnostic imaging in 2019 seems very familiar to what Everything Rad reported in 2018. Artificial intelligence (AI) and wearable devices are on the list once again, along with the addition of more apps for mobile
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Easy access to algorithms accelerates development of apps - what will it mean for radiology? By Eliot Siegel, MD, FACR, FSIIM. Want to improve detection of intracranial hemorrhage in a trauma patient? Or quantify the progression of multiple sclerosis? There will be an app for that
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