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In January of this year, the FDA granted the first approval for commercial use of a cloud-based artificial intelligence (AI) program in healthcare. The approval was granted to Arterys, a machine learning platform that was designed for use in cardiology. The program works by analyzing MRI imaging of the heart to accurately measure the volume of each ventricle, allowing physicians to precisely assess heart function. In order to receive this approval, Arterys had to demonstrate to the FDA that the results of its AI algorithm are at least as accurate as those obtained by a human clinician.¹

Arterys can conduct this assessment in 15 seconds on average, whereas a physician would be expected to take 30 minutes to an hour to perform the same task.¹ The program was able to achieve this speed while maintaining human level accuracy after being given a training set of only 1,000 patient cases to learn from. The cloud-based system will automatically receive data from all future patient assessments which will help it to further improve its accuracy.

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Fayiz Mahgoub
Associate Editor, Eye Care Technology and Vision Therapy for odsonfb.com. Dr. Mahgoub enjoys sharing his thoughts on a variety of eye care topics as a contributing writer to Eyecare Business Magazine, Optometric Management Magazine, newgradoptometry.com and introwellness.com. He also serves as Chief Creative Officer for Defocus Media where he hosts the eye care technology podcast, VisionTECH with Fayiz Mahgoub as well as The ODs on Facebook Podcast. In 2015 Dr. Mahgoub founded the organization Young Leaders in Optometry to bring together the brightest young minds in optometry with the goal of empowering the professional growth of young optometrists and helping them make a positive impact on our profession. Today, Young Leaders in Optometry hosts educational events during optometric conferences to showcase the brightest young leaders in our field. In 2019 Dr. Mahgoub founded Augmented Vision Labs, an eyecare technology company focused on leveraging emerging technologies such as 3D printing, artificial intelligence, spatial computing and cloud computing to enhance the delivery of eyecare.

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