The Need for a Machine Learning Curriculum for Radiologists.
J Am Coll Radiol. 2019 May;16(5):740-742. doi: 10.1016/j.jacr.2018.10.008. Epub 2018 Dec 7.
Wood MJ1, Tenenholtz NA2, Geis JR3, Michalski MH4, Andriole KP5.
Machine learning (ML) is an emerging technology that is on the verge of transforming the practice of radiology. As new algorithms are being developed for an increasing number of medical imaging and operational applications, radiologists will be expected to effectively interpret model output as a part of their daily practice 1, 2. It is therefore imperative that imaging experts understand the potential, as well as the limitations, of ML, to appropriately integrate it into the clinical workflow. However, a framework for educating the next generation of radiologists on how to interface with ML technology has not been established, leaving radiologists potentially ill prepared to fully leverage these tools safely and effectively 3, 4.
Read Full Article Here: https://doi.org/10.1016/j.jacr.2018.10.008