SAN FRANCISCO, Nov. 21, 2018 /PRNewswire/ -- Arterys, the
leader in intelligent, 100% web-based medical imaging software,
will demonstrate its wide-ranging suite of AI powered solutions
that support fast, efficient and accurate analysis of medical
images at RSNA 2018 (North Hall, Booth 7964), November 25-30 in Chicago.
Driven by deep learning and cloud computation, the Arterys
platform opens a new era for medical imaging and clinical diagnosis
with 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 is taking medical imaging analysis to new heights with
a powerful U.S. FDA-cleared system that makes it easier for
clinicians to detect and diagnose tumors and heart problems," said
Arterys CEO Fabien Beckers. "We are
excited to highlight our latest advancements and demonstrate
multiple web-based solutions for the radiology community, and to
sponsor the Machine Learning Showcase at RSNA."
Arterys will provide demonstrations of its AI-powered, web-based
solutions, including:
- Arterys Cardio AIMR combines the power of
deep learning and cloud computing to automate analysis of cardiac
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 to offer deep learning-based
semi-quantitative perfusion and quantitative delayed enhancement
analysis*.
- Arterys Liver AI is used to efficiently measure and
track liver lesions. It enables visualization and longitudinal
tracking, and faster volumetric segmentation with integrated Liver
Imaging Reporting and Data System (LI-RADS) workflow. The Arterys
Liver AI user-friendly interface and seamless workflow supports
greater measurement accuracy and enables clinicians to make a more
objective and confident treatment decision.
- Arterys Lung AI provides improved tracking of lung
nodules to aid in clinical management. The solution's volumetric
segmentation yields more accurate measurements, while automated
longitudinal tracking helps clinicians better manage nodule
progression. Arterys Lung AI includes a dedicated Lung-RADS scoring
panel for screening examinations, which captures key features and
calculates scores. Automatic reporting capabilities deliver
summaries of findings and can be customized to display relevant
quantitative information, images and comments. Lung AI also offers
detection capabilities, which are available clinically in the
European Union and for research only in the United States.
- Arterys Viewer is powered by AI to increase speed,
efficiency and accuracy of reading medical images. Offering
multimodal support, including for MRI, 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.
- Arterys Breast AI for Mammography supports viewing
mammograms using the Google Chrome web browser. The Arterys Breast
AI solution enables providers to easily and intelligently recognize
higher priority cases, effectively allocate time for reviewing
cases, and facilitate more informed decisions on the review
priority and timing of screening studies. The solution
automatically generates graphical bounding boxes to identify
regions of interest on an image, serving as a mammography assistant
that enables clinicians to focus on suspicious areas before, during
or after diagnosis. Breast AI for Mammography is currently for
research use only and not for use in any diagnostic
procedures.
The Arterys HIPAA- and EU GDPR-compliant solutions integrate
with existing electronic health records (EHRs), PACS and RIS
environments and dictation solutions.
All demonstrations will take place in Arterys booth (North Hall,
Booth 7964), located within the Machine Learning Pavilion.
Arterys CEO Fabien Beckers, along
with Michael Poon, MD, Northwell
Health cardiologist, will present "The Potential of a Web Platform
to Transform Medical Imaging with AI and Cloud Computation" in the
RSNA Machine Learning Showcase, Tuesday
November 27 at 11:30am
CST.
About Arterys, Inc.
Arterys was founded in 2011 to
facilitate the global advancement of healthcare and enable data
driven medicine by leveraging cloud computation and artificial
intelligence. Its first major milestone was the first-ever
clearance of cloud-based deep learning software for clinical use.
Arterys offers a suite of applications for clinicians on the
Arterys network via its cloud-based, web-enabled AI medical imaging
platform. MICA enables use and interaction with deep learning
algorithms in real time, augmenting the clinician and expediting
image interpretation.
The company's goal is to reduce variability and subjectivity in
clinical diagnoses, and alleviate the enormous workloads
radiologists face. With AI, the company is improving the accuracy
and consistency in imaging interpretation across practices. Arterys
is now leveraging its medical imaging platform to expanding its
technology beyond Cardiac MR to create other imaging applications
to make medical imaging services vastly more automated,
quantitative and useful.
*Semi-quantitative perfusion and quantitative delayed
enhancement analysis for Cardio AI are for research only in the US
due to contrast agents used.
Follow Arterys on Twitter @ArterysInc or LinkedIn
https://www.linkedin.com/company/arterys/
Contact: info@arterys.com
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SOURCE Arterys, Inc.