Machine learning is a sub-discipline of computer science that is becoming widely utilized across the medical field.

This methodology is being applied to many areas of pulmonary and critical care medicine, and these fields potentially have much more to gain from the use of machine learning.

Chest imaging analysis, pulmonary function test interpretation, and sepsis analytics are some examples of topics in which these methods have the potential to lead to significant diagnostic and therapeutic improvements.

It is important that all clinicians and researchers now begin to understand both the potential benefits as well as the challenges and limitations of machine learning in medical research.