Machine Learning in Radiology: Applications Beyond Image Interpretation.
J Am Coll Radiol. 2018 Feb;15(2):350-359. doi: 10.1016/j.jacr.2017.09.044. Epub 2017 Nov 17. Lakhani P1, Prater AB2, Hutson RK3, Andriole KP4, Dreyer KJ5, Morey J6, Prevedello LM7, Clark TJ8, Geis JR8, Itri JN9, Hawkins CM2.
Much attention has been given to machine learning and its perceived impact in radiology, particularly in light of recent success with image classification in international competitions. However, machine learning is likely to impact radiology outside of image interpretation long before a fully functional "machine radiologist" is implemented in practice. Here, we describe an overview of machine learning, its application to radiology and other domains, and many cases of use that do not involve image interpretation. We hope that better understanding of these potential applications will help radiology practices prepare for the future and realize performance improvement and efficiency gains.