AI applied to healthcare includes a collection of technologies that enable machines to sense, interpret, act and learn. AI implementations for digital health can be relatively simple when they are focused largely on personal patient engagement, or vastly complex when working with big data sets, highly specialized diagnostics, and the workflows of multiple highly complicated organizations. The addition of Internet of Things sensor data from connected health and related devices adds a new layer of critical, real-time contextual data.
Hello Russell!!! I am so glad by going through this article. It is a very wonderful thing that we can implement the AI in the directions of healthcare by including a collection of technologies. As you mentioned AI implementations for digital health can be relatively simple when they are focused largely on personal patient engagement, or vastly complex when working with big data sets, highly specialized diagnostics, and the workflows of multiple highly complicated organizations.
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AI in Healthcare: Independent Living for Consumers
Posted by: Brad Russell July 22, 2019 12:09 PMAI applied to healthcare includes a collection of technologies that enable machines to sense, interpret, act and learn. AI implementations for digital health can be relatively simple when they are focused largely on personal patient engagement, or vastly complex when working with big data sets, highly specialized diagnostics, and the workflows of multiple highly complicated organizations. The addition of Internet of Things sensor data from connected health and related devices adds a new layer of critical, real-time contextual data.