How AI is driving the future of cardiac MR

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How AI is driving the future of cardiac MR

March 10, 2020
Cardiology
From the March 2020 issue of HealthCare Business News magazine

The solution to CMR’s inherent complexity lies in automating the machine operation. The benefits of harnessing the power of AI to control and run the machine are clear: the software will be able to localize the heart and prescribe the standard views in mere seconds; a well-trained machine learning algorithm will produce consistent and reliable results; neural networks will review the quality of images in real time, identify artifacts, and reacquire images all on its own.

Itamar Kandel
The groundswell of data supporting CMR as the best-in-class diagnostic tool is irrefutable. The rumor mill suggests that the American Heart Association is poised to release new guidelines making CMR a Class 1 indication for ischemic heart conditions, which will turbocharge CMR demand even further. It’s no longer a matter of if, but when self-driving MR systems, and assisted-AI technology will bring the power of CMR imaging technology to all. AI-assisted CMRs will change the future of cardiology.

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About the author: Itamar Kandel is the CEO of HeartVista.

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