In “Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth” (Just et al., 2017) describe their research in using artificial intelligence models to use brain imaging to predict who may be most likely to try to end their lives.
Predicting aggression is a notoriously important and difficult task for mental health professionals. When it comes to aggression directed against oneself, the ability to tell who is at most risk so appropriate interventions can be made is uncertain, at best. Suicide takes a terrible toll on most families and can affect survivors across generations.
Generally, mental health professionals, especially psychiatrists, are trained to assess risk based on a variety of factors including past personal and family history, and current risk factors such as insomnia, agitation, and the presence of well-formulated plans and preparations, among others.
Read more: Can Artificial Intelligence Predict Suicide?