Medivis SurgicalAR Gets FDA Clearance
Technology | Virtual and Augmented Reality | June 10, 2019

June 10, 2019 — Medivis announced that its...

Glassbeam Announces New Clinsights Application Suite for Healthcare Provider Market
Technology | Analytics Software | June 10, 2019

June 10, 2019 — Glassbeam launched Clinsights, a new revitalized application suite powered by...

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 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 ...

Client Outlook's eUnity Smartviewer Selected by Duke University Health System
News | Remote Viewing Systems | June 04, 2019

June 4, 2019 — Client Outlook Inc. announced that Duke University Health System has implemented eUnity for...

Volpara Health Technologies to Acquire MRS Systems Inc.
News | Mammography Reporting Software | June 04, 2019

June 4, 2019 — Volpara Health Technologies, Volpara Solutions' parent company, has signed a binding agreement to...

Ann Arbor Startup Launches Augmented Reality MRI Simulator
Technology | Virtual and Augmented Reality | June 04, 2019

June 4, 2019 — SpellBound, an Ann Arbor startup specializing in...

Sponsored Content | Whitepapers | Vendor Neutral Archive (VNA) | June 04, 2019

The evolution from standalone PACS to extensive Enterprise Imagining Solutions created the need to archive...

Artificial Intelligence In It For Long-Haul, Says Radiology Leader
Podcast | Artificial Intelligence | June 03, 2019

Editor’s note: This podcast is the first in a content series by Greg Freiherr covering the...

Applications Open for ASRT Foundation and Canon Medical's Safety FiRsT Grant Program
News | Radiation Dose Management | May 31, 2019

May 31, 2019 — The ASRT Foundation and Canon Medical Systems are now accepting applications for the 2019 Safety...

AI Biomarker Demonstrates High Predictive Power for Lung Cancer Immunotherapy
News | Artificial Intelligence | May 31, 2019

May 31, 2019 — Lunit announced an abstract presentation of its...

Intelerad Commits $75 Million to R&D for New AI and Cloud-based Medical Imaging Software
News | Artificial Intelligence | May 31, 2019

May 31, 2019 — Intelerad Medical Systems announced a $75 million investment in research and development (R&D) to...

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...

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Sponsored Content | Case Study | Enterprise Imaging | May 30, 2019

In this study, the client was a large enterprise health system serving 1.4 million patients across the United States...

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.

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...

Feature | Electronic Medical Records (EMR) | May 30, 2019 | By Larry Sitka and Jef Williams

Medical imaging and informatics are critical to delivering care and managing wellness. Imaging was an early adopter...

Intelerad Showcases Clario SmartWorklist at SIIM 2019
News | PACS Accessories | May 28, 2019

May 28, 2019 — The Clario SmartWorklist intelligently manages...

Improved Imaging for Prostate Cancer Could Lead to More Effective Treatment

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...