Latest AI and machine learning research in depression for healthcare professionals.
BACKGROUND AND PURPOSE: In recent years, the development of machine learning (ML) frameworks for aut...
INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An e...
BACKGROUND AND AIM: Depression is often accompanied by thoughts of self-harm, which are a strong pre...
Methods of suicide have received considerable attention in suicide research. The common approach to ...
BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of weara...
BACKGROUND: The development of optimal classification criteria for specific mental disorders which s...
BACKGROUND: Symptomatology differences of major depressive disorder (MDD) in psychiatric and general...
Recent advances in Machine Learning (ML) have the potential to revolutionise psychosis prediction an...
BACKGROUND: About one third of patients treated with antidepressant do not show sufficient symptoms ...
BACKGROUND: Major depressive disorder (MDD) is one of the leading causes of disability; however, cur...
BACKGROUND: Supraclavicular brachial plexus block offers good operating conditions with limited post...
BACKGROUND: Suicide is a leading cause of death worldwide. With the increasing volume of administrat...
OBJECTIVE: Suicide is a growing public health concern with a global prevalence of approximately 800,...
BACKGROUND: As the most commonly occurring form of mental illness worldwide, depression poses signif...
The diagnosis of depression almost exclusively depends on doctor-patient communication and scale ana...
BACKGROUND: As depression is the leading cause of disability worldwide, large-scale surveys have bee...
PURPOSE: Adolescent major depressive disorder (MDD) is a highly prevalent, incapacitating and costly...
Classic serotonergic psychedelics are remarkable for their capacity to induce reversible alterations...
Artificial intelligence (AI)-based techniques have been widely applied in depression research and tr...
Molecular biological findings indicate that affective disorders are associated with processes akin t...
This study applies classification tree analysis to prospectively identify suicide attempters among a...