The presence of speech patterns in people with autism spectrum disorder (ASD), commonly called autism, is linked to problems in social communication and social interaction that define ASD. These ...

Early research ties word-finding difficulty (WFD) to the same neural highways that falter in Alzheimer’s disease.

A new study led by Northwestern University researchers used machine learning—a branch of artificial intelligence—to identify speech patterns in children with autism that were consistent between ...

A new analysis suggests that posts in hate speech communities on the social media website Reddit share speech-pattern similarities with posts in Reddit communities for certain psychiatric disorders.

Speech rate and word-finding difficulties, including pausing and use of fillers such as “um” and “uh,” were associated with changes in executive function across the adult lifespan in a new study. Jed ...

Objective measurement of psychiatric disorders has long proved challenging. Yet, there is ample evidence that analysis of speech patterns can accurately diagnose depression and psychosis, measure ...

Researchers are increasingly finding that subtle shifts in everyday conversation can flag trouble in the brain long before classic memory problems appear. Instead of relying only on paper-and-pencil ...

Those of us who have cared for someone with Alzheimer's disease know all too well the pain of trying to communicate with someone who is losing their language abilities. People with the disease tend to ...

Voice recordings helped predict which patients with mild cognitive impairment developed Alzheimer's dementia in 6 years. The study leveraged AI methods for speech recognition and processed the ...

A new proof of concept study, led by researchers at University of California San Diego School of Medicine, has demonstrated how speech-analyzing artificial intelligence tools can effectively predict ...