AI at the Heart of Clinical Cloud-Based LearningTrends
Posted January 27, 2017
In a leap toward the integration of AI and machine learning into the healthcare field, the FDA has approved Arterys’s medical imaging platform for use in a clinical setting. As Bernard Marr tells Forbes, this is the first approval of its kind, and sets the stage for more cutting-edge technology to hit the market.
Founded by John Axerio-Cilies, Fabien Beckers, Albert Hsiao, and Shreyas Vasanawala, Arterys uses an artificial neural network that self-teaches with each new case to improve its understanding of the heart and expand its knowledge base. In a mere 15 seconds, it can produce results that would take a human analyst up to an hour to tackle. However, Arterys is not set to replace doctors. Rather, it is a tool meant to help them work more efficiently by providing precise indicators of health during assessment.
While current use of the platform is focused solely on providing accurate measurements of each ventricle’s volume, many more uses are planned. “This is a huge deal,” Beckers tells Forbes, “It’s the first time his new way of imaging has been cleared for clinical applications. It’s about truly helping clinical workflow to move into the cloud and deep learning and do something pretty substantial. It opens the seals, and set a precedent for what can be done.”
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