Arterys: The future of precision medicine

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Arterys:  The future of precision medicine   that only human + AI can achieve. 

The Arterys platform extracts actionable insights from medical images to add clinical value, improve diagnostic decision making, efficiency and productivity.

Arterys is the medical imaging AI platform allowing you to weave leading AI clinical applications directly into your existing PACS or EHR driven workflow to make it a natural extension of what you already do.

We are making AI real by improving physician experience, accuracy of diagnosis and treatment, financial performance and outcomes that matter to patients and providers.

Accessible anywhere from any validated device via the cloud for faster performance, ease of deployment with no PHI exchange and completely secure.

See how Arterys is transforming healthcare through deep learning and AI

History:  It started at Stanford

Before we founded Arterys, we were graduate students, searching for a way to make medicine better. Faster. More precise.

We pushed the boundaries of our disciplines until they finally overlapped, intersecting cloud computing with cutting edge medical image acquisition.

Soon after, Arterys was founded on our shared beliefs:

Faster, smarter diagnosis where it counts the most

We started by improving diagnoses for newborns and kids with heart defects. At the time, pediatric cardiovascular disease was diagnosed with ultrasound, which only offers a partial view of the heart with no blood flow quantifications. Or an MRI captured over grueling hours on the scanning table.

Without accurate quantification, cardiac medicine was an educated guess with a high error rate.

The solution was obvious: 4D Flow technology to visualize and quantify blood flow in mere minutes.

But image archiving servers in hospitals couldn’t read 4D Flow’s big data files. So we applied a system that could: cloud computer processing.

With cloud computing, we could put those life-saving 4D Flow images into radiologists hands. In mere moments, physicians could diagnose and make accurate treatment decisions.

Anyone with access to a web browser could access Arterys to quantify regurgitant flow and determine if a child with heart defects needed surgery.

We were helping to save kids’ lives with better diagnoses.

But we weren’t satisfied.

Even though we put 4D Flow at radiologists’ fingertips, we still saw physicians manually drawing contours to quantify the size of cardiac ventricles.

Artificial Intelligence gets real

We decided to power Deep Learning AI with cloud computing GPUs to automatically quantify and segment ventricles as accurately as manual measurements by experienced physicians. In 2017, our technology received the first ever US FDA clearance for leveraging cloud computing and deep learning in a clinical setting.

But we were still not satisfied.

Physicians around the world approached us, asking if we could apply the same AI cloud computing approach to image processing and analysis to cancer patients. Then to liver patients. Then lung, breast, brain, and everything in between.

The word was getting out that radiologists could receive automatic accurate measurements through deep learning powered in the cloud.

All of your data, all in one place. Simple.

Despite our breakthroughs, existing radiology workflows put AI image acquisition and analysis out of reach. Working outside of a unified platform, physicians switched interfaces multiple times an hour to access different AI imaging tools. This stole vital time that could be spent with a patient. It was time to transcend silos with one united AI web platform.

Soon after, we received FDA clearance for our Arterys web-based AI imaging platform.

Despite these successes, we are still not satisfied.

We want to push medicine to make it even faster and more precise. We’ve just gotten started  .... ..'