News | Computer-Aided Detection Software | November 26, 2018

Arterys Demonstrates AI Cloud-Based Medical Image Analysis Solutions at RSNA 2018

Company will display AI-based software for analysis of cardiac MRI

Arterys Demonstrates AI Cloud-Based Medical Image Analysis Solutions at RSNA 2018

November 26, 2018 — Medical imaging software company Arterys will demonstrate its wide-ranging suite of artificial intelligence (AI)-powered solutions that support fast, efficient and accurate analysis of medical images at the 2018 Radiological Society of North America (RSNA 2018) annual meeting, Nov. 25-30 in Chicago.

Driven by deep learning and cloud computation, the Arterys platform uses the power of the internet to enhance clinician workflow, streamlining and speeding analysis of breast, heart, liver and lung images to deliver improved patient outcomes for key workflows.

Arterys will provide demonstrations of its AI-powered, web-based solutions, including:

  • Arterys Cardio AIMR combines deep learning and cloud computing to automate analysis of cardiac magnetic resonance (MR) images. By eliminating many tedious, manual tasks, Arterys Cardio AI enables clinicians to quickly and easily identify, determine treatment for and track heart problems. It is the first and only commercial solution, according to the company, to offer deep learning-based semi-quantitative perfusion and quantitative delayed enhancement analysis.
  • Arterys Viewer is powered by AI to increase speed, efficiency and accuracy of reading medical images. Offering multimodal support, including for MRI, computed tomography (CT), X-ray and ultrasound images, Arterys Viewer is designed to deliver the best patient outcome by enabling clinicians to share images, collaborate and consult via a shared workspace.

The Arterys HIPAA- and EU GDPR-compliant solutions integrate with existing electronic health records (EHRs), picture archiving and communication system (PACS), and  radiology information system (RIS) environments and dictation solutions.

For more information: www.arterys.com

Related Content

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

News | Artificial Intelligence | May 26, 2020
May 26, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

A list of all the abnormalities the AI model classifies. This illustration only shows three representative leads (DII, V1 and V6).Fig. This is Figure 1 from the Nature Communications article.

News | Artificial Intelligence | May 19, 2020
May 19, 2020 — Artificial inte...
TeraRecon will accelerate innovation in its advanced visualization and AI platforms for image-related decision support to clinical specialists

TeraRecon's End-to-End AI Ecosystem

News | Artificial Intelligence | March 04, 2020
March 4, 2020 — SymphonyAI Group, an operating group of lea
The FDA granted marketing authorization of the Caption Guidance software to Caption Health Inc. in February 2020. It uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.

News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S.

GE Healthcare partnered with the AI developer Dia to provide an artificial intelligence algorithm to auto contour and calculate cardiac ejection fraction (EF). The app is now available on the GE Vscan pocket, point-of-care ultrasound (POCUS) system, as seen here displayed at RSNA 2019. Watch a VIDEO demo from RSNA.

Feature | Artificial Intelligence | February 11, 2020 | Sanjay Parekh, Ph.D. 
February 7, 2020 – At the 2019 Radiological Society...
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor, which with the latest artificial intelligence (AI) can detect hypoglycemic events from raw ECG signals has been made by researchers from the University of Warwick.

 

News | Artificial Intelligence | January 13, 2020
A new technology for detecting low glucose levels via electrocardiogram (ECG) using a non-invasive wearable sensor,...
Videos | Artificial Intelligence | November 07, 2019
Piotr Slomka explains how his team at Cedars-Sinai is working on intelligent patient risk prediction algorithms...
AI Could Use EKG Data to Measure Patient's Overall Health Status

Image courtesy of iStock

News | Artificial Intelligence | August 29, 2019
In the near future, doctors may be able to apply artificial intelligence (AI) to electrocardiogram data in order to...