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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, Vision Therapy for odsonfb.com. Fayiz is a fourth-year Optometry student with interests in Vision Therapy, Neuro-Optometry and Specialty Contact Lenses. As a first-year student, Fayiz served as president of his university’s COVD and NORA clubs. He then went on to establish a contact lens club and as well as a sports vision club at Western University College of Optometry. Fayiz has also served as National President of the National Optometric Student Association (NOSA).

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