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Researchers report they have developed a smartphone app that uses AI, paired with facial-image processing, to detect -with 75% accuracy- the onset of depression before the user even knows something is wrong
Dartmouth researchers report they have developed the first smartphone application that uses artificial intelligence paired with facial-image processing software to reliably detect the onset of depression before the user even knows something is wrong. Called MoodCapture, the app uses a phone’s front camera to capture a person’s facial expressions and surroundings during regular use, then evaluates the images for clinical cues associated with depression.
Dartmouth researchers report they have developed the first smartphone application that uses artificial intelligence paired with facial-image processing software to reliably detect the onset of depression before the user even knows something is wrong. Called MoodCapture, the app uses a phone’s front camera to capture a person’s facial expressions and surroundings during regular use, then evaluates the images for clinical cues associated with depression. The study stems from a National Institutes of Mental Health grant Jacobson leads that is investigating the use of deep learning and passive data collection to detect depression symptoms in real time.
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