AI’s With Decision-Making and Learning Capabilities May Improve Cost and Quality of Healthcare

aiIt has been nearly three years since super-computer Watson outsmarted human contestants on Jeopardy. Now, that same technology that allowed the super computer to understand and process reams of information in seconds is being adapted for the healthcare industry. In a study done by the Indiana University School of Informatics and Computing, researchers found that the Markov Decision Processes and Dynamic Decision Networks– a system similar to the one used by the Watson computer– was over 50% cheaper and almost 50% more efficient at making diagnosis and treatment decisions in the clinical setting. While researchers have stated that this artificial intelligence is not yet a replacement for treatment by a flesh-and-blood doctor, the technology could be very beneficial in coming years as the population and need for efficient, correct treatment both increase.

(Source:Indiana University)

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