The IBM Watson supercomputer (with its 500 gigabytes per second capability) heralded use of artificial intelligence (AI) in medicine with the defeat of human Jeopardy! contestants in February of 2011. An early success in the use of AI in medicine was the rules-based medical diagnosis system MYCIN. Classical AI techniques include expert systems, fuzzy logic, knowledge representation, data mining, and machine learning while modern AI methodologies include artificial neural network, evolutionary computing, intelligent agents, case-based reasoning, data visualization, and natural language processing. With computer capabilities exponentially rising and the vast amount of health care data escalating into Big Data, AI will be an integral part of a data revolution in this era of health care reform.
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