  The discussions around Artificial Intelligence (AI) and medical imaging are
centered around the success of deep learning algorithms. As new algorithms
enter the market, it is important for practicing radiologists to understand the
pitfalls of various AI algorithms. This entails having a basic understanding of
how algorithms are developed, the kind of data they are trained on, and the
settings in which they will be deployed. As with all new technologies, use of
AI should be preceded by a fundamental understanding of the risks and benefits
to those it is intended to help. This case-based review is intended to point
out specific factors practicing radiologists who intend to use AI should
consider.
