Cardio AI(MR) Web-based image analysis solution leverages power of deep learning and cloud supercomputing for improved radiologist efficiency and rapid analysis of Cardiac MR images
SAN FRANCISCO, Oct. 23, 2018 /PRNewswire/ — Arterys, the leader in intelligent, cloud-based medical imaging software, has introduced more than 80 enhancements to its Cardio AIMR solution, which combines the power of deep learning and cloud computing to automate analysis of cardiac MR images. With these additions, Arterys Cardio AIMR is the first and only commercial solution to offer deep learning-based perfusion* and delayed enhancement analysis*. The new features also improve clinician workflow, streamlining and speeding analysis with automated and easily editable ventricular volume measurements.
“The Arterys Cardio AIMR innovations are game changers in data-driven medicine,” said Arterys CEO Fabien Beckers. “With Cardio AIMR we are creating a growing base of collective intelligence that enables clinicians to eliminate tedious manual tasks, and quickly and easily detect, predict and track heart problems.”
Recent enhancements to Arterys Cardio AIMR include support of:
Quantitative Delayed Enhancement – Deep learning-based segmentation of myocardium and identification of reference points. Users can obtain scar quantification and extent enhancement on a 17-segment AHA plot.
Semi-Quantitative Perfusion – Deep learning-based segmentation of myocardium, identification of reference points and co-registration. Users can simply create a blood pool ROI to obtain signal intensity graphs and semi-quantitative values, such as upslope and time to peak, on a 17-segment AHA plot.