
Mentally ill avatars
To teach medical students, scientists have created avatars that feature typical symptoms of different mental disorders as well as psychiatric and psychotherapeutic treatment situations.
To teach medical students, scientists have created avatars that feature typical symptoms of different mental disorders as well as psychiatric and psychotherapeutic treatment situations.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
To detect the symptoms that herald the development of psychotic illnesses, scientists have applied longitudinal network analysis to children.
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
A scientist aims to lower the toll co-occurring disorders like heart disease or diabetes have on older people with schizophrenia and improve their functioning by getting them up and moving.
MIT neuroscientists have devised a way to measure dopamine in the brain. Tiny probes could be useful for monitoring patients with Parkinson’s and other diseases.