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.

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 artificial intelligence (AI) provider Aidoc announced the U.S. Food and Drug Administration (...
Medivis SurgicalAR Gets FDA Clearance
Technology | Virtual and Augmented Reality | June 10, 2019
June 10, 2019 — Medivis announced that its augmented reality (AR) technology platform for surgical applications,...
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 artificial intelligence/...
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 Society for Imaging...
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...
SIIM and ACR Host Machine Learning Challenge for Pneumothorax Detection and Localization
News | Artificial Intelligence | June 03, 2019
June 3, 2019 — The Society for Imaging Informatics in Medicine (SIIM) and the American College of Radiology (ACR) are...
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 Society for Imaging...
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 artificial intelligence (AI) precision medicine research...
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 picture archiving and communication system (PACS) reading...
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...
MaxQ AI Launches Accipio Ax Slice-Level Intracranial Hemorrhage Detection
Technology | Computer-Aided Detection Software | May 21, 2019
May 21, 2019 – Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that Accipio Ax will begin...
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...
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.

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, artificial intelligence (AI) gradually is becoming a go-to technology for...
FDA Clears Aidoc's AI Solution for Flagging Pulmonary Embolism
Technology | Artificial Intelligence | May 15, 2019
May 15, 2019 — Artificial intelligence (AI) solutions provider Aidoc has been granted U.S. Food and Drug Administration...
King's College London and NVIDIA Build U.K.'s First AI Platform for NHS Hospitals

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 artificial intelligence (AI)...
FDA Approves Zebra Medical Vision's HealthPNX AI Chest X-ray Triage Product
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...