Artificial Intelligence
This channel includes news and technology innovations for artificial intelligence (AI) software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics and to assist radiologists with improved workflow.
Technology | Virtual and Augmented Reality | June 10, 2019
June 10, 2019 — Medivis announced that its...
Technology | Analytics Software | June 10, 2019
June 10, 2019 — Glassbeam launched Clinsights, a new revitalized application suite powered by...
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Graphic courtesy of Pixabay
Blog | Electronic Medical Records (EMR) | February 02, 2020
The electronic transmission of patient images, when done cost effectively, efficiently and instantaneously, can help
The DeepAAA algorithm, developed at the MGH & BWH Center for Clinical Data Science, accurately detected and measured an abdominal aortic aneurysm (AAA) in a CT image even though appearance of the AAA was complicated by a blood clot. (The algorithm drew a green circle around the aneurysm.) Image courtesy of Varun Buch, MGH & BWH Center for Clinical Data Science
Feature | Artificial Intelligence | June 10, 2019 | By Greg Freiherr
Editor’s note: This article is the second in a content series by Greg Freiherr covering the ...
News | Mammography Reporting Software | June 04, 2019
June 4, 2019 — Volpara Health Technologies, Volpara Solutions' parent company, has signed a binding agreement to...
News | Artificial Intelligence | June 03, 2019
June 3, 2019 — The Society for Imaging Informatics in...
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Graphic courtesy of Nuance Communications
Blog | Electronic Medical Records (EMR) | January 23, 2020
Approaches to gain widespread use of electronic transmission of patient images may be as varied as the needs and circ
Podcast | Artificial Intelligence | June 03, 2019
Editor’s note: This podcast is the first in a content series by Greg Freiherr covering the...
News | Artificial Intelligence | May 31, 2019
May 31, 2019 — Lunit announced an abstract presentation of its...
News | Artificial Intelligence | May 31, 2019
May 31, 2019 — Intelerad Medical Systems announced a $75 million investment in research and development (R&D) to...
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The latest version of the universal viewer shown by GE Healthcare at RSNA 2019 incorporates artificial intelligence. Image courtesy of GE Healthcare
Blog | Artificial Intelligence | January 12, 2020
After languishing for years,...
Blog | Information Technology | May 31, 2019
It is not surprising that pressure is mounting for medical providers to improve the care outcomes of their patients....
iCAD’s ProFound AI is one example of artificial intelligence used to improve detection of anomalies in radiological images. The software identifies breast lesions and assigns a score representing its confidence the lesion is malignant.
Feature | Artificial Intelligence | May 30, 2019 | By Greg Freiherr
Much has been made in recent years about the explosion of artificial intelligence (AI) in radiology and how it might...
News | PACS Accessories | May 28, 2019
May 28, 2019 — The Clario SmartWorklist intelligently manages...
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Window (right) opened during GE Healthcare demonstration shows highlighted region of interest including signs of pneumothorax in an AI-enhanced chest radiograph (CE Mark version of software; not commercially available in United States).
Blog | Artificial Intelligence | December 21, 2019
On a monitor in the downtown Chicago engineering laboratories of...
The picture shows that time series signal is extracted from a series of ultrasound frames for classification. Each patch across a number of frames inside the prostate is classified into either cancerous or normal tissue. The image at the lower right corner shows the overall result for those frames. Image courtesy of Pingkun Yan and researchers from NIH, University of British Columbia and Queens University.
News | Ultrasound Imaging | May 28, 2019
May 28, 2019 — Engineers at Rensselaer Polytechnic Institute are working to improve imaging methods in order to make...
News | Artificial Intelligence | May 20, 2019
May 20, 2019 — Digital Reasoning announced results from its automated radiology report analytics research. In a series...
Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.
Feature | Artificial Intelligence | May 17, 2019 | Inga Shugalo
With its increasing role in medical imaging,...
King's College London will implement NVIDIA DGX-2 systems for AI research in the first phase of the project.
News | Artificial Intelligence | May 13, 2019
May 13, 2019 — NVIDIA and King’s College London announced they are partnering to build an...
Technology | Artificial Intelligence | May 13, 2019
May 13, 2019 — Zebra Medical Vision has received U.S. Food and Drug Administration (FDA) 510(k) clearance for HealthPNX...
