Arterys to Demonstrate Suite of AI-Powered, Cloud-based Medical Image Analysis Solutions at RSNA 2018

November 27 presentation: "The Potential of a Web Platform to Transform Medical Imaging with AI and Cloud Computation"

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Nov 21, 2018, 07:15 ET

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 AI^MR 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: [email protected]

SOURCE Arterys, Inc.