Technology | Artificial Intelligence | November 26, 2017

Arterys Receives FDA Clearance for Arterys MICA Web-Based Medical Imaging Analytics Platform

Platform delivers artificial intelligence-enabled clinical applications in real time for an extremely fast, productive and interactive experience

Arterys Receives FDA Clearance for Arterys MICA Web-Based Medical Imaging Analytics Platform

November 26, 2017 — Arterys Inc. announced the unveiling of their Arterys MICA platform at the 2017 Radiological Society of North America annual meeting (RSNA), Nov. 26-Dec. 1 in Chicago. Visitors to the Arterys Booth will be able to interact with a new portfolio of web-based artificial intelligence (AI) offerings supported by the platform.

Arterys has created Arterys MICA: a novel AI platform for medical image analytics. Today, most imaging interpretation solutions are installed inside hospitals and lack the computing power to deliver real-time, interactive AI insights to medical images, according to the company. Arterys MICA is web-based, and runs on a scalable, distributed GPU architecture. As a result, physicians benefit from vast amounts of computation and can leverage artificial intelligence algorithms instantly.

MICA can support multiple workflows in a variety of imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT). It was designed to work seamlessly with applications that integrate AI algorithms into workflows, allowing clinicians to interact with and edit their output in real time. The system also captures these user edits, so that algorithms can later be improved based on real-world use, creating collective intelligence to benefit all users.

Additionally, MICA includes the Arterys PHI Service, which ensures protected patient data remains within the hospital network, yet it can be accessed remotely by users with the right credentials. This solution achieves scale while protecting patient data privacy. This proprietary technology complies with regional data and privacy laws in the United States, Canada and the European Union.

The cloud provides several additional benefits, including scalability without additional information technology (IT) investment,  access to the latest updates and upgrades instantly, and the ability to share images of any size easily and with a complete set of interpretation tools. MICA now supports three applications: the U.S. Food and Drug Administration (FDA)-cleared Cardio AIMR and a new clearance-pending application to support oncology workflow for lung and liver: Arterys Liver AIMR, CT  and Arterys Lung AICT.

Demonstrations of the FDA-clearance pending oncology workflows will also be available. Supported by MICA, these products have been designed to volumetrically segment and measure suspicious lesions, help track them over time and allow clinicians to apply radiological standards such as LI-RADS and Lung-RADS as appropriate.

At the Machine Learning Showcase, Arterys CEO Fabien Beckers and Albert Hsiao, M.D., Ph.D., will present "A Year of Experience with AI in the Market: What We've Learned and the Future of Medical Imaging and Cloud AI," and offer anecdotes, learnings and insights from a year of on-market experience with AI, followed by discussion of the role cloud AI will play.

For more information: www.arterys.com

 

Related Content

HHS Extends Comment Period for Proposed Electronic Health Information Interoperability Rules
News | Electronic Medical Records (EMR) | April 19, 2019
The U.S. Department of Health and Human Services (HHS) is extending the public comment period by 30 days for two...
FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
News | Artificial Intelligence | April 18, 2019
Atrium Health patients will now be able to use Amazon’s electronic voice system Alexa to not only locate the nearest...
Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
Ebit and DiA Imaging Analysis Partner on AI-based Cardiac Ultrasound Analysis
News | Cardiovascular Ultrasound | April 16, 2019
DiA Imaging Analysis has partnered with the Italian healthcare IT company Ebit (Esaote Group), to offer DiA’s LVivo...