GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image Reconstruction engine on the new Revolution Apex computed tomography (CT) device. The engine has also been approved as an upgrade to GE’s Revolution CT system in the United...
Artificial Intelligence
This channel includes news and new technology innovations for artificial intelligence 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.
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At the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium,...
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In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future of artificial intelligence (AI) in medical imaging. The workshop was co-sponsored by NIH, the Radiological Society of North America (RSNA), the American College of Radiology (...
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Vital Images has developed a strategy that allows its customers to capture revenues that are otherwise missed while building the infrastructure for the future.
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Paul Chang, M.D., professor of radiology, vice chair of radiology informatics and medical director for enterprise imaging, University of Chicago, explains some of the issues with artificial intelligence (AI) and...
Technology | Computed Tomography (CT) | April 19, 2019
April 19, 2019 – GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr
Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
News | Artificial Intelligence | April 18, 2019
April 18, 2019 — University of California Los Angeles (UCLA) researchers have developed a new...
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There were more than 150 companies showing some version of artificial intelligence at RSNA, but very few have FDA cleared products for sale. One of the trends seen on the floor was a movement toward AI app stores where these start-up companies can offer their wares through a larger vendor and provide a single point of contracts and IT integration for hospitals.
Blog | RSNA | November 29, 2018
Artificial intelligence (AI) and enterprise imaging were among the top trends at the Radiological Society of North...
News | Artificial Intelligence | April 18, 2019
April 18, 2019 – Atrium Health patients will now be able to use Amazon’s...
News | Radiology Business | April 16, 2019
April 16, 2019 — iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens...
News | Cardiovascular Ultrasound | April 16, 2019
April 16, 2019 — DiA Imaging Analysis has partnered with the Italian healthcare IT company Ebit (Esaote Group), to...
News | Artificial Intelligence | April 16, 2019
April 16, 2019 — In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to...
Sponsored Content
One of several 3-D printed models at Stratasys booth during RSNA 2018.
Blog | RSNA | November 27, 2018
For medical practice to advance, efforts to make this practice more efficient must not come at the expense of...
Sponsored Content | Videos | Information Technology | April 15, 2019
Vital Images has developed a strategy that allows its customers to capture revenues that are otherwise missed while...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.
Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient....
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The vendor icometrix is showed how its FDA-cleared icobrain can help identify brain injury in CT scans. The company was one of the vendors in Machine Learning Showcase with an FDA cleared AI product.
Blog | Artificial Intelligence | November 26, 2018
Among two of the top trends brewing on the ...
Sponsored Content | Case Study | Artificial Intelligence | April 11, 2019
Example of full-dose, 10 percent low-dose and algorithm-enhanced low-dose. Image courtesy of Enhao Gong, Ph.D.
Feature | Contrast Media Injectors | April 11, 2019 | By Jeff Zagoudis
One of the most controversial issues in radiology in recent years has been the use of...
News | Teleradiology | April 10, 2019
April 10, 2019 – vRad (Virtual Radiologic), a Mednax Radiology Solutions practice, announced that the U.S. Patent...
Technology | Cardiovascular Ultrasound | April 09, 2019
April 9, 2019 — DiA Imaging Analysis announced the launch of LVivo SAX, a cardiac analysis tool that helps...
News | Artificial Intelligence | April 08, 2019
April 8, 2019 — NVIDIA and the American College of Radiology (ACR) announced a collaboration to enable thousands of...
Technology | Radiation Dose Management | April 04, 2019
April 4, 2019 — The U.S. Food and Drug Administration (FDA) granted Omega Medical Imaging 510(k) clearance to offer...
