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2 min read

Next-Gen AI-Assisted Cardiac MRI Software and 8th FDA Clearance

FDA clears powerful next-gen AI assisted cardiac MRI software

Arterys proudly announces several new modules to its robust Cardio AI clinical application and an additional FDA AI clearance based on deep learning.

Cardio AI is a comprehensive, cloud-based post-processing solution that leverages AI and deep learning to provide extremely accurate, automated, fast, repeatable analysis of cardiac MRI images. 

The latest Cardio AI enhancements provide physicians with additional tools to remove redundant work and tedious editing to analyze Cardiac MRI images. 

These new modules make it easier for physicians to manage increasing demand and provide consistent diagnostic decisions more efficiently. 

New Cardio AI Modules

The latest modules include:

  • Strain + AIPowered by 4D Flow - Incorporates a deep learning myocardial velocity and strain model that eliminates time-consuming contour editing to obtain reliable strain results (available for research only).

strain ai example

  • Atrial Volumes - Allows physicians to easily quantify volumes for both left and right atria in cardiac MRI images to aid in the diagnostic process.


    gif Atrial Volume

  • Wall Thickness - Provides automatic wall thickness measurements critical to the diagnosis process.

release-wall-thickness_2-1

 

FDA Clearance 

In addition to the Cardio AI enhancements, Arterys received its eighth FDA clearance. This additional FDA clearance makes Cardio AI’s existing T1 + AI, and T2 quantification modules available for commercial use. 

These now-cleared modules offer a dedicated workflow for T1 and ECV and T2 quantification, including multiple and global ROIs, and a graphical display of curves that provides users with intuitive, simple calculations for tissue characterization.

What The Experts Are Saying

Radiologist teams using Cardio AI have noted the speed and accuracy improvements it has brought to the diagnosis process.

“Cardio AI is an integral part of our image interpretation and patient management. It significantly reduces the time necessary to generate useful information from our imaging. 

What used to take 30 minutes or more is now done, in many cases, before the patient is even off of the MRI table. It has also accelerated our adoption of techniques like T1 mapping and quantitative delayed enhancement because it dramatically reduces the effort to report these values.” 

- Ali B Syed, MD at Stanford School of Medicine, Department of Radiology

“Cardio AI has been an invaluable tool in our practice to allow us faster processing of complex cardiac MR examinations with automated contouring not only for function but also tissue characterization saving us minutes of processing time on every single exam. 

Rapid processing of 4D Flow affords us the ability to evaluate complex congenital heart disease nearly real-time.” 

- Melany B. Atkins, MD, Division Chief, Cardiovascular Imaging at Inova Fairfax Hospital

Learn More!

We are very excited to bring the new modules to market, allowing us to accommodate a wide variety of users from community hospitals/physician centers to larger research centers and even pediatrics. 

To learn more about Cardio AI, schedule a demo today! We will help you create more efficient workflows that empower you to make faster and more accurate diagnostic decisions.  

Read the Full Press Release

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