Industry leaders anticipate that the use of artificial intelligence in medical imaging will have a substantial clinical impact, ushering in an opportunity to significantly improve decision support in medical image interpretation. In this post, we cover a variety of promising medical imaging applications for AI and machine learning—including diagnosing cancer and brain aneurysms—as well as recent regulatory developments.
CB Insights reports that healthcare-related AI investment totaled $1.44 billion in the first half of 2019, putting investment in the space on track to surpass the prior year, in which investment reached $2.5 billion. Much of the attention to date has surrounded applications in medical imaging or radiology.
The National Center for Biologic Information (NCBI) reports that publications covering AI in radiology have steeply increased in recent years. Between 2016 and 2017, the number of articles published on the topic ranged from 700 to 800. That’s compared to 100 to 150 articles published between 2007 and 2008. In addition, more than half of recent articles focused on applications related to magnetic resonance imaging (MRI) or computed tomography (CT). And January saw the launch of a peer-reviewed journal devoted to AI in medical imaging: Radiology: Artificial Intelligence.