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We strongly believe that only digital health can bring healthcare into the 21st century and make patients the point-of-care. Algorithms, datasets, machine learning, deep learning, cognitive computing, big data, and artificial intelligence: IT expressions that took over the language of 21st-century healthcare with surprising force. If medical professionals want to get ahead of the curve, they rather get familiarized with the basics of A.I. and have an idea of what medical problems they aim to solve. So, let’s take a closer look at machine learning and deep learning in medicine.
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In the spirit of driving innovation and improvements for patients, more healthcare organizations are dabbling with predictive analytics to anticipate needs and drive value.
Posted Jun 3, 2019predictive analytics
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