  In this manuscript, we present an argument that machine learning, a subfield
of artificial intelligence, can drive improvement in value-based health care
through reducing error in clinical decision making. Much of what has been
previously published on machine learning in medicine represent single-use or
proof-of-concept cases, as well as broad reviews of the advantages and
limitations of machine learning. It is timely to look at the broader strategy
for artificial intelligence implementation in medicine and emphasize how
machine learning can positively influence value-based care.
