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Students Create Stroke Detection Device

A 17-year-old student from Jordan and his team describe DocStroke, a low-cost device that assesses stroke risk from retinal images.

edCircuit logo: an orange lowercase eBy EdCircuit Staff2 min read
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A student team tests a handheld eye scanning device on a classmate as a retinal scan with machine learning analysis shows on a laptop

Student developed DocStroke determines risks of stroke using ocular imagery

Play video: Mohammad Rimawi – Imagine Cup (4 minutes 47 seconds)

Mohammad Rimawi – Imagine Cup4 min 47 sedCircuit on Vimeo

Abstract EyeMohammad Rimawi, a 17-year-old student from Jordan and his team members recently competed in the 2017 Imagine Cup World Finals with his project, DocStroke, a portable device that helps diagnose diabetes and other stroke risk factors through retinal imagery using a non-dilated eye.

15 million people suffer a stroke worldwide each year. DocStroke provides an inexpensive way to determine the risks of stroke using ocular image processing and machine learning. The portable Panoptic ophthalmoscope can take images of the eye fundus with a five times larger view, even if the pupil is not dilated. DocStroke calculates risks. The calculation is based on the eye fundus image taken from the patient through the ophthalmoscope and information provided in a patient questionnaire.

DocStroke has shown remarkable accuracy. DocStroke is saving lives, and doctors are already taking notice and requesting the technology. Mohammed and his team are working hard to make sure that DocStroke will be available to help alleviate many of the sufferers of strokes worldwide.

About Mohammad Rimawi: Mohammad Rimawi is a 17-year-old student from Amman, Jordan, where he attends Jubilee High School. Mohammad is the graphic designer and business manager of DocStroke, and competed in the 2017 Imagine Cup World Finals.

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