Technology | Advanced Visualization | January 09, 2017

Zero-footprint deep learning solution provides automated, editable ventricle segmentations for cardiac MRI

Arterys, Cardio DL cloud application, automated ventricle segmentation, MRI, FDA clearance

January 9, 2017 — Arterys has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market its Arterys Cardio DL application. Arterys Cardio DL is the first technology to be cleared by the FDA that leverages cloud computing and deep learning in a clinical setting.

Arterys Cardio DL provides automated, editable ventricle segmentations based on conventional cardiac magnetic resonance imaging (MRI) exams that are as accurate as segmentations performed manually by experienced physicians. The U.S. clearance complements the CE Mark received in late December for commercialization of the Arterys Cardio DL product in Europe.

The application is vendor-agnostic and was developed using data from several thousand cardiac cases. The software produces editable automated contours, providing precise and consistent ventricular function in seconds. The trained deep learning algorithm was validated as producing results within an expected error range comparable to that of an experienced clinical annotator. This clearance enables Arterys to make use of its unique clinical annotation platform, which collects ground-truth data every time a user views a study on Arterys.com. In the future, the deep learning model can be optimized as new data is collected from all global users.

Both the FDA clearance and CE Mark expands on the recently 510(k) cleared 4D Flow post-processing software features that provide comprehensive anatomy and blood flow visualization and quantification within and around the heart in a simple manner.

For more information: www.arterys.com


Related Content

News | Ultrasound Imaging

Oct. 19, 2026 – GE HealthCare has introduced LOGIQ Focus, a new addition to its LOGIQ family of general imaging ...

Time October 19, 2026
arrow
News | Women's Health

Oct. 15, 2026— SimBioSys has announced U.S. Food and Drug Administration (FDA) 510(k) clearance of TumorSight Risk, its ...

Time October 19, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

Oct. 8, 2026 — DeepHealth, Inc., a wholly owned subsidiary of RadNet, Inc., has announced new findings published in ...

Time October 13, 2026
arrow
News | FDA

Oct.7, 2026 – MRI2CT Inc. has received FDA 510(k) clearance for NextMR, its AI powered imaging platform, for generating ...

Time October 07, 2026
arrow
News | Information Technology

October 6, 2026 – Clearsense has introduced a cloud-based medical image archive designed to reduce the cost of ...

Time October 07, 2026
arrow
News | PET-MRI

Sept. 29, 2026 —Yale New Haven Hospital has installed a state-of-the-art positron emission tomography/magnetic resonance ...

Time October 05, 2026
arrow
News | Radiation Oncology

Sept. 23, 2026 — GE HealthCare has announced a new collaboration with a research team at Mass General Brigham to explore ...

Time October 02, 2026
arrow
Feature | Digital Pathology | Kyle Hardner

As recently as a decade ago, pathology technology was expected to become more expensive, larger and more precise. Yet in ...

Time October 02, 2026
arrow
News | RSNA

Sept. 22, 2026 — The Radiological Society of North America (RSNA) is now offering a certificate program that equips ...

Time September 24, 2026
arrow
News | Artificial Intelligence

Sept. 17, 2026 — Merge has launched MergeIQ, an artificial intelligence layer that embeds practical intelligence ...

Time September 21, 2026
arrow
Subscribe Now