Carestream joins research for earlier detection and treatment of idiopathic pulmonary fibrosis. What if you could detect idiopathic pulmonary fibrosis (IPF) earlier – and get patients into treatment sooner? What if X-ray imaging, the most prevalent and accessible imaging modality in the world, could provide the
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Carestream accelerates delivery of AI features that help improve patient outcomes and patient care. Table of contents AI's role in improving clinical outcomes AI's role in improving the human experience Accelerating delivery of AI applications for radiology There are numerous technologies and technical terms related to artificial intelligence (AI) that
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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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