Latest AI and machine learning research in depression for healthcare professionals.
Background: Emotion dysregulation is a core feature of bipolar disorder (BD), yet its behavioral exp...
Postpartum depression (PPD) is a serious perinatal mental health condition affecting approximately 2...
Background General-purpose large language models increasingly encounter emotional and therapy-like c...
Explainable machine learning (XML) pipelines applied to composite mental health outcomes can produce...
Functional brain networks exhibit a hierarchical organization across ROI, community, and whole-brain...
Recent Vision-Language Models capture increasingly complex aspects of human cognition. Here we ask w...
Depression screening from large-scale behavioral data is challenged by fragmented circadian indicato...
Abstract Background: Disability prediction in elderly with cardiometabolic multimorbidity (CMM) is l...
Non-suicidal self-injury (NSSI) among adolescents is a prevalent mental health problem and an import...
Multi-site functional MRI (fMRI) studies are essential for robust neuropsychiatric diagnosis yet suf...
Depression and anxiety are highly prevalent in multiple sclerosis (MS), yet tools for predicting men...
Given the widespread prevalence of depression and its consequential impact on individuals and societ...
Background: Suicide prediction models in psychiatry often rely on purely data-driven feature selecti...
Background: Veterans face an elevated risk of suicide compared to the general population, motivating...
Background: Suicide remains a significant and potentially preventable cause of death among United St...
Importance. Large language models (LLMs) increasingly inform mental health decisions by patients and...
Anxiety and depression are globally prevalent conditions associated with maladaptive decision making...
Post-traumatic stress disorder (PTSD) in veterans is characterized by persistent hyperarousal and co...
The escalating demand for mental healthcare, driven by rising societal stress, highlights the limita...
While deep learning has significantly advanced image reconstruction of Electrical Capacitance Tomogr...
The language of the brain is articulated by temporal patterns of neuronal activity, which individual...