The Arterys mission is to transform healthcare by reducing subjectivity and variability in clinical diagnosis. Our dream is to bring data-driven medicine to every patient, regardless of where they live. As long as you have access to the web, you have access to Arterys.
Medicine should be powered by data.
Physicians should be empowered with every piece of information they need to make the best possible diagnosis and treatment decisions.
Every patient should benefit from the Arterys technology. Regardless of where they live or how they live.
This can be a new era of open research based on millions of multi-modal patient studies.
Healthcare’s current technology infrastructure is not capable of getting medicine where it needs to go.
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:
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.
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.
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..