Algorithm uses smartphone camera, flashlight to spot diabetes
According to a release detailing the research, Avram and colleagues collected data from 54,269 adult individuals who had enrolled in UCSF’s Health eHeart Study. These participants had measured their heart rates with the Azumio Instant Heart Rate smartphone app, which uses the phone’s camera and flashlight to measure blood volume variations in the user’s fingertips. The researchers’ model correctly identified 72 percent of the participants with diabetes and increased this rate to 81 percent when incorporating other collected risk factors.
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