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The Big Data Blog

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By supporting radiologists' interpretation work, diagnostic imaging AI is expected not only to prevent oversight of diseases and improve the accuracy of interpretation, but also to improve operational efficiency such as reducing interpretation time.
Currently, various companies including our company (medical device manufacturers, AI vendors, SI companies, etc.) are developing and implementing it in society.
Behind the active entry and development is the improvement of image recognition technology through deep learning technology. In recent years, companies have announced technologies that use AI to extract abnormal findings, identify lesions, present disease name candidates, and segment organs and parts from radiological images, and provide reporting support based on this information.
Recently, an AI system that supports diagnostic imaging of the new coronavirus pneumonia has been approved and released as a medical device in Japan Japan.

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