Diagnosing Mental Health Disorders Through AI Facial Expression Evaluation
Researchers from Germany have developed a method for identifying mental disorders based on facial expressions interpreted by computer vision.
The new approach can not only distinguish between unaffected and affected subjects, but can also correctly distinguish depression from schizophrenia, as well as the degree to which the patient is currently affected by the disease.
https://www.unite.ai/diagnosing-mental-disorders-through-ai-facial-expression-evaluation/
Phone App Uses AI to Detect Depression From Facial Cues
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. In a study of 177 people diagnosed with major depressive disorder, the app correctly identified early symptoms of depression with 75% accuracy.
https://home.dartmouth.edu/news/2024/02/phone-app-uses-ai-detect-depression-facial-cues