The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Suicide is a major public health concern accounting for 800 000 deaths globally each year.
Although there have been many advances in understanding suicide risk in recent decades …

Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …

Identifying brain alterations that contribute to suicidal thoughts and behaviors (STBs) are
important to develop more targeted and effective strategies to prevent suicide. In the last …

Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

The suicide death toll is alarmingly high, outnumbering deaths from war and homicide
worldwide (1). Many factors contribute to suicide death, making it difficult to prevent because …

Suicide is the second leading cause of death worldwide for adolescents. Despite decades of
research on correlates and risk factors for adolescent suicide, we know little about why …

Background Machine learning techniques offer promise to improve suicide risk prediction. In
the current systematic review, we aimed to review the existing literature on the application of …

There is no definitive neural marker of suicidal thoughts and behaviors (STBs) or
nonsuicidal self-injury (NSSI), and relative to adults, research in youth is more limited. This …

Artificial intelligence (AI) has the potential to significantly transform the role of the doctor and
revolutionise the practice of medicine. This qualitative review paper summarises the past 12 …