Arterys' medical imaging platform has been approved for clinical use by the US Food and Drug Administration (FDA) to help doctors diagnose patients' heart problems. The neural network model in this application self-learns from more than 1,000 cases and can continuously acquire new knowledge and improve its accuracy in each new case.
Prior to this, in order to obtain FDA certification, the system passed rigorous clinical testing to prove that it can at least reach the same level of judgment as human doctors. The biggest difference between Arterys and humans is that he can diagnose a case in about 15 seconds, and to do the same thing, professional human analysts need to spend 30 minutes to an hour.
Arterys was launched at Stanford University by Fabien Beckers, John Axerio-Cilies, Albert Hsiao and Shreyas Vasanawala, and has completed Series A funding. The founders of the company share a common expectation for the potential of machine learning. Their current job is to help doctors understand the state of the patient's heart. By accurately measuring the volume of each ventricle, the artificial intelligence system can assess the patient's health.
"This is an impressive achievement," Beckers said. "This is the first time such medical imaging methods have been approved. This means that deep learning and cloud technology can really enter the medical workflow and provide important help to doctors and patients. Our work opens a door, and such applications There is a precedent."
Deep learning
After investing 1000 cases as training data, Artery Cardio DL runs a supervised learning algorithm and draws approximately 10 million rules based on the associations it finds in the data. Its purpose is to detect and identify problems without human intervention. But Becker is sure that this is not to replace the doctor, but to provide them with tools to help them work more efficiently.
"We are trying to make it quantitative and data-driven. We started with the heart because it is one of the most difficult organs. Now we know that we can do it, and we can use this Arterys in many other fields. "
"The left ventricle of the heart is round, simple in structure, and the right ventricle is peanut-shaped, which is more complicated. It proves that this technique can be used to analyze the two images of the left and right ventricles is a big achievement, because it takes too long to use the traditional method. It is."
"This technology can prove that its use is huge and far-reaching."
Arterys is a cloud-based platform. This is important because it allows surgeons to collect data around the world, and Arterys will continue to learn the data. With time and enough data, one day its accuracy will not only rival humans, but even humans.
Of course, this also poses special challenges because the data is highly sensitive and personal.
"Medical imaging has about $3 billion in market, it's workstation-based -- apart from the medical industry , is there another industry that uses the term "workstation"? Asked Beckers.
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