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Abstract
The term AI was coined in 1956 by John McCarthy via the Dartmouth Summer Research Project on Artificial Intelligence, and was based on the premise that machines could learn, and ultimately predict, human behavior.2,3 The conference was held, in part, in response to the research of Dr. Alan Turning, a British mathematician who had explored the ability of machines to “think” using the Turning Test.2,3 Perhaps surprising to some, the use of AI in health care was contemporaneous with the premiere of 2001: A Space Odyssey so many decades ago. By the early 1970s, AI was being applied to biomedical problems.3 Today, data acquisition, health care outcomes, response to therapy, and even health care cost reductions are reaping the benefits of this technology. The emergence and integration of large-scale data analyses, combined with complex supervised and unsupervised machine-learning algorithms, have enormous potential not only to provide precision-based medicine but also to reduce health care costs and morbidities.