AI detects depression in children’s voices

University of Vermont researchers have developed an algorithm that detects anxiety and depression in children’s voices with 80 per cent accuracy, according to a recent study. Standard diagnosis involves a 60-90 minute semi-structured interview with a trained clinician and their primary care-giver. AI can make diagnosis faster and more reliable. The researchers used an adapted […]

Personalized, gamified, inhibitory control training for weight loss

Evan Forman, Michael Wagner, and Drexel colleagues have developed Diet DASH,  a brain training game meant to inhibit sugar-eating impulses. A recent study using the the game examined the impact of highly personalized and/or gamified inhibitory control training on weight loss, using repeated, at-home training. The trial randomized 109 overweight, sweet-eating participants , who  attended a workshop on why […]

Thought generated speech

Edward Chang and UCSF colleagues are developing technology that will translate signals from the brain into synthetic speech.  The research team believes that the sounds would be nearly as sharp and normal as a real person’s voice. Sounds made by the human lips, jaw, tongue and larynx would be simulated. The goal is a communication method for […]

Voice-detected PTSD

Charles Marmar, Adam Brown, and NYU colleagues are using AI-based voice analysis to detect PTSD with 89 per cent accuracy, according to a recent study. PTSD is typically determined by bias-prone clinical interviews or self-reports. The team recorded standard diagnostic interviews of 53 Iraq and Afghanistan veterans with military-service-related PTSD, as well as 78 veterans without […]