mHealth Study Uses Wearables, Artificial Intelligence To Detect Internalizing Disorders

Researchers at the University of Vermont and the University of Michigan recently reported an 81% success rate using connected health devices and artificial intelligence (AI) technology to detect “internalizing disorders” in children between the ages of 3 and 7. The results of the study were recently published in PLOS One, a peer-reviewed open access scientific journal published by the Public Library of Science.

In the report, the researchers concluded that the results demonstrate that 20 seconds of wearable sensor data extracted from a fear inducing task can help identify young children with internalizing disorders at a high level of . . .