Latest AI and machine learning research in depression for healthcare professionals.
Millions of people worldwide are affected by mental health disorders, particularly anxiety and depre...
INTRODUCTION: With rapid population aging in China, depression among middle-aged and older adults ha...
Depression treatment outcomes remain difficult to predict for selective serotonin reuptake inhibitor...
OBJECTIVE: Recent advances in functional magnetic resonance imaging (fMRI) have identified brain fun...
OBJECTIVES: To investigate the temporal dynamics of resting-state electroencephalography (EEG) micro...
BACKGROUND: Depression is a major public health concern, with Tennessee ranking among the U.S. state...
BACKGROUND: This case describes a substance-induced manic episode with psychotic features in which i...
BACKGROUND: Suicide remains a major global health concern and disproportionately affects low- and mi...
BACKGROUND: Suicide is a critical global public health issue, with millions experiencing suicidal id...
BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand the...
BACKGROUND: Adolescent suicide is a critical public health issue globally. Early detection of suicid...
PURPOSE: Young people have rapidly adopted generative artificial intelligence (genAI) technology, ye...
BACKGROUND: Depressive symptoms are linked to nutritional vulnerability and functional decline in ag...
BACKGROUND: Mitochondrial dysfunction has been implicated in the pathogenesis of depression. Major d...
OBJECTIVES: Life satisfaction is an essential indicator of quality of life, and enhancing it can con...
Machine learning approaches have been increasingly applied to social media text data for mental heal...
BACKGROUND: Physically inactive older adults represent a high-risk group for depression. However, wh...
College students face a higher risk of depression than their non-college peers. However, the predict...
INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to red...
This study aimed to identify independent predictors of quality of life in patients with multiple scl...
Depression, anxiety, and stress are significant global health burdens worsened by restricted access ...