Arterys Inc. has closed on its Series A financing, bringing the total Series A funding to over USD12 million.
GE Ventures, Stanford University and Stanford Health Care) and Norwich Ventures join Emergent Medical Partners who led the round, with additional participation by existing investors Asset Management Ventures, AME Cloud Ventures and Morado Ventures.
Arterys plans to use the proceeds to expand the commercial operations of the company´s visualization and quantification algorithm for medical imaging.
Although cardiovascular disease is the leading cause of death in the United States, there is no reliable non-invasive comprehensive diagnostic tool. The non-invasive standard of care is the echocardiogram, which is a validated first line of diagnosis, but lacks blood flow accuracy. The alternatives to obtain more precise quantitative measures remain expensive, time consuming and/or invasive.
Arterys has created revolutionary diagnostic software that connects to a standard MRI machine to allow non-invasive, precise quantitation of blood flow quickly leveraging the latest technologies in cloud computation. Patients undergo a simple MRI scan of the chest in 10 minutes and the data is sent to a secure, HIPAA-compliant cloud server for computational analysis via a simple web browser.
Using deep learning and artificial intelligence, the Arterys solution allows the clinician to interact with the data, approve quantitative clinical analysis suggested by the software in a few minutes to assess patients with cardiovascular disease. Specific uses of this software include assessing patients with structural heart disease, congenital heart disease, carotid/neurovascular and renal vascular disease.
Arterysâ„¢ is a cloud-based medical imaging, machine learning platform designed to deliver ultra-fast visualization and quantification with automatic analysis.
Arterys Inc. opens medical imaging to the power of the cloud. Arterys developed 4D Flow technology, which generates precise measurements of blood flow noninvasively and non-radiatively anywhere in the body.
