Arterys announces new modules for Cardio AI clinical application

Arterys, a leading medical imaging AI platform, has announced some new modules for its Cardio AI clinical application and an additional FDA AI clearance based on DL (deep learning).

Cardio-AI is a cloud-based post-processing and all-inclusive solution that influences AI and deep learning for providing extremely automated, accurate, repeatable, and fast analysis of cardiac MRI images.

The newest Cardio AI augmentations offer physicians additional tools for removing excessive work and unvarying editing for analyzing Cardiac MRI images.

These new modules allow physicians to manage and offer consistent diagnostic decisions more effectively.

The newest modules include, Strain & AI Powered by 4D Flow – a DL myocardial velocity and strain model that bypasses the requirement for time-consuming contour editing; Atrial Volumes that allow physicians to quantify volumes easily for both right and left atria in cardiac MRI images; and Wall Thickness

Ali B Syed, M.D., at Stanford School of Medicine, Department of Radiology, said that Cardio AI is essential for image interpretation and patient management. It massively reduces the necessary time to produce useful information from the imaging.

Earlier, the task which used to take 30 minutes and even more is now accomplished before patients get off of the MRI table.

It has also fast-tracked the adoption of T1 mapping and quantifiable delayed enhancement as it intensely reduces the effort to report these values.

Additionally, Arterys recently received its eighth FDA [MD1] clearance apart from the Cardio AI enhancements. This extra FDA clearance makes Cardio AI's current T2 and T1 + AI quantification modules that are available for commercial use.

These recently cleared segments offer a devoted workflow for T2 and T1 and ECV quantification, including global and multiple ROIs, and a graphic display of curves that offer users with simple and intuitive results for tissue characterization.

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