April 18, 2019 – Atrium Health patients will now be able to use Amazon’s...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org
Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration. But it...
News | Radiology Business | April 16, 2019
April 16, 2019 — iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens...
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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...
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...
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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 ...
Videos | Mammography | April 15, 2019
News | Colonoscopy Systems | April 15, 2019
April 15, 2019 — Check-Cap Ltd. has initiated its U.S. pilot study of the C-Scan system for prevention of...
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Artificial intelligence (AI) is the hottest topic this year at RSNA 2018. FujiFilm featured an AI lab in its booth.
Blog | RSNA | November 25, 2018
One force behind the development of products on the...
News | Enterprise Imaging | April 15, 2019
April 15, 2019 — Change Healthcare successfully implemented its Radiology...
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....
Image courtesy of Pixabay
Blog | Cybersecurity | April 12, 2019
Sooner or later, the bad guys are going to figure out that...
This image depicts ABUS images with QVCAD results.
Feature | Breast Imaging | April 12, 2019
Imaging Technology News spoke with Bob Foley, vice president of sales and marketing of QView Medical, Inc., about...
At RSNA 2018, Stratasys showed how 3-D printed models can help plan surgeries and assist in making complex diagnoses.
Feature | Enterprise Imaging | April 11, 2019 | By Jeff Zagoudis
The central premise behind ...
