Latest AI and machine learning research in depression for healthcare professionals.
Depression is a chronic mental disorder with high disability and mortality rates, affecting approximately 95 million individuals in China alone. The limitations of current antidepressant therapies, including restricted efficacy, delayed onset, and significant adverse effects, have motivated the search for alternative treatments from traditional Chinese medicine. Psychotria rubra (PR), a widely dis...
BACKGROUND: Psychiatry needs objective technological tools to address global staffing shortages, stigma, and other systemic challenges. An AI-based system for mood monitoring (MoodMon) was developed along with a mobile app for smartphones to detect changes in the mental state of individuals with major depressive disorder (MDD) and bipolar disorder (BD) based on acoustic features derived from speec...
BACKGROUND: Major depressive disorder exists along a continuum, from health through remission to active depression. Differentiating these states remai...
Marked interindividual heterogeneity in substance use disorder (SUD) impedes the identification of consistent neuroanatomical alterations, limiting th...
BACKGROUND CONTEXT: Low back pain (LBP) is a leading cause of disability worldwide, yet population-level stratification of LBP risk remains limited. U...
BACKGROUND: Nonadherence to antipsychotics affects nearly half of patients with schizophrenia, leading to rehospitalization, suicidality, and reduced ...
INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical o...
AIMS: Cross-national research on mental health trajectories requires harmonised measures that are valid and comparable. However, measurement scales of...
This study aimed to identify copper and zinc metabolism-related genes as potential diagnostic biomarkers for major depressive disorder through an inte...
BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, treatment-refractory clinical syndrome. Emerging e...
Automated depression assessment from clinical interviews is a challenging intelligent healthcare task because depressive states are reflected not only...
BACKGROUND: While generative artificial intelligence (GenAI) has been rapidly adopted by college students, its relationship with mental health remains...
Precision psychiatry seeks to improve individual-level prediction, treatment selection, monitoring, and prevention by integrating clinical, biological...
Current detection models for suicidal ideation (SI) among depressed patients have primarily relied on clinical and biological features. This study aim...
OBJECTIVES: Factors associated with depression were explored in this study through logistic regression, and predictive performance was compared with v...
Graph Neural Networks (GNNs) model functional connectivity patterns between brain regions via neighborhood information aggregation. However, most GNN ...
AIMS: Epigenetic regulation of the oxytocin receptor gene (OXTR), particularly DNA methylation (DNAm), has been linked to insecure attachment, anxiety...
OBJECTIVE: This study seeks to explore the utility of social determinants of health (SDoH) variables in suicide prediction models. We aim to assess th...
Adolescent major depressive disorder (MDD) is a heterogeneous disorder that complicates diagnosis and treatment. However, the mechanisms underlying th...
AIMS: Psychotic experiences (PEs) are relatively common in youth and are associated with increased risk for later psychotic disorders. Although inflam...