First FDA Approval For Clinical Cloud-Based Deep Learning In Healthcare

960x0The first FDA approval for a machine learning application to be used in a clinical setting is a big step forward for AI and machine learning in healthcare and industry as a whole.

Arterys’s medical imaging platform has been approved to be put into use to help doctors diagnose heart problems. It uses a self-teaching artificial neural network which has learned from 1,000 cases so far, and will continue to improve its knowledge and understanding of how the heart works with each new case it examines.

In order to be approved by the US Food and Drug Administration (FDA), it had to pass tests to show it can produce results at least as accurately as humans are currently able to. The key difference though is that Arterys takes an average of 15 seconds to produce a result for one case, which a professional human analyst would expect to spend between 30 minutes to an hour working on.

By Bernard Marr | Forbes

Image: Shutterstock

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About Peter Coffaro 1149 Articles

A growth-driven and strategic executive, Peter Coffaro commands more than 20 years of progressive management success within the medical device industry. As a District Sales Manager for Stryker Orthopaedics, Peter was responsible for managing and directing a regional sales force to achieve sales and profit goals within the Rocky Mountain region. Previously, he was the Director of Sales & Marketing for Amp Orthopedics. In this role, Peter was responsible for planning, developing, and leading all sales and marketing initiatives. Peter is a former orthopedic distributor in the Pacific Northwest. He has also worked with DePuy Orthopaedics as well as Zimmer, and held positions in sales, sales training, and sales management. Peter has an extensive background in organizational development, business development, sales management, negotiating and P&L management. Peter holds a B.S. degree in Biology from Northern Illinois University.

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