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.

LVivo EF Comparable to MRI, Contrast Echo in Assessing Ejection Fraction
News | Cardiovascular Ultrasound | June 19, 2019
June 19, 2019 — DiA Imaging Analysis announced the presentation of two studies assessing the performance and accuracy...
Canon Medical Receives FDA Clearance for AiCE Reconstruction Technology for CT
Technology | Computed Tomography (CT) | June 18, 2019
June 18, 2019 – Canon Medical Systems USA Inc. has received 510(k) clearance on its new...
M*Modal and Community Health Network Partner on AI-powered Clinical Documentation
News | PACS Accessories | June 13, 2019
June 13, 2019 — M*Modal announced that the company and Community Health Network (CHNw) are collaborating to transform...
iCAD Introduces ProFound AI for 2D Mammography in Europe
News | Artificial Intelligence | June 13, 2019
June 13, 2019 — iCAD Inc. announced the launch of ProFound AI for 2D Mammography in Europe. This software is the latest...
The Current Direction of Healthcare Reform Explained by CMS Administrator Seema Verma
News | Radiology Business | June 11, 2019
June 11, 2019 — Centers for Medicare and Medicaid Services (CMS) Administrator Seema Verma addressed the American...
Aidoc Earns FDA Approval for AI for C-spine Fractures
Technology | Artificial Intelligence | June 11, 2019
June 11, 2019 – Radiology ...
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 ...
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...
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...
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....
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...
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...
AI Detects Unsuspected Lung Cancer in Radiology Reports, Augments Clinical Follow-up
News | Artificial Intelligence | May 20, 2019
May 20, 2019 — Digital Reasoning announced results from its automated radiology report analytics research. In a series...