| Literature DB >> 31918875 |
Alan Alexander1, Adam Jiang2, Cara Ferreira2, Delphine Zurkiya2.
Abstract
Radiologists today are under increasing work pressure. We surveyed radiologists in the United States across practice settings, and the overwhelming majority reported an increased workload. Artificial intelligence (AI), which includes machine learning, can help address these issues. It also has the potential to improve clinical outcomes and raise further the value of medical imaging in ways yet to be defined. In this article, we report on recent McKinsey & Company work to understand the growth of AI in medical imaging. We highlight progress in its clinical application, the investments that are backing it, and the barriers to broader adoption. We also offer a view on how the market will develop. AI is set to have a big impact on the medical imaging market and hence on how radiologists work, helping them to speed up scan time, make more accurate diagnoses, and ease their workload. As AI in medical imaging increasingly proves its worth, it is hard to imagine that AI will not ultimately transform radiology.Keywords: Artificial intelligence; cloud; investments; machine learning; solutions
Mesh:
Year: 2020 PMID: 31918875 DOI: 10.1016/j.jacr.2019.07.019
Source DB: PubMed Journal: J Am Coll Radiol ISSN: 1546-1440 Impact factor: 5.532