Latest AI and machine learning research in depression for healthcare professionals.
Major depressive disorder (MDD) is highly recurrent, and psychosocial stress is a central precipitan...
Background Differentiating bipolar disorder (BD) from major depressive disorder (MDD) during major d...
Resting-state functional connectivity is widely used in machine learning-based classification of neu...
Objective digital measures of depression severity could complement conventional symptom assessments ...
In clinical practice, experts often begin by converting raw inputs into a set of expert features bef...
Objective: We explored the implementation considerations of machine learning (ML) suicide risk ident...
Forecasting suicide risk is difficult due to the high heterogeneity of patients and the low base rat...
Depression in Alzheimer's disease (AD) is clinically challenging to characterise because affective a...
Accurate classification of brain disorders from neuroimaging data remains challenging because of sub...
Patients with depression present with diverse symptom profiles, yet clinical practice routinely redu...
University students experience disproportionately high rates of common mental health conditions, suc...
Depression and anxiety in older adults with Mild Cognitive Impairment (MCI) are frequently underdiag...
Postpartum depression (PPD) poses a major burden on maternal and child health, especially in low- an...
Background: Generative AI is evolving at a rapid pace, and many individuals are utilizing chatbots f...
Importance. Systematic reviews and meta-analyses inform suicide-prevention policy and practice, but ...
Neurological and mental-health conditions such as Parkinson's disease (PD) and major depressive diso...
Large language models provide a promising framework for wearable-based health prediction by converti...
Cross-site identification of major depressive disorder (MDD) from resting-state functional magnetic ...
Background: Electroconvulsive therapy (ECT) induces widespread brain effects and remains the most ef...
Background: Depression and anxiety are managed largely between clinical visits, yet outpatient care ...
Digital phenotyping (DP) using smartphones and wearable devices has shown considerable potential for...