Latest AI and machine learning research in depression for healthcare professionals.
Suicidal risk may be encoded in everyday communication patterns but diluted in routine digital inter...
Background: Major depressive disorder (MDD) is clinically heterogeneous, hindering identification of...
Major depressive disorder (MDD) and other psychiatric diseases can greatly benefit from objective de...
Suicidal ideation in obsessive-compulsive disorder (OCD) is common and clinically significant, yet m...
Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infecti...
Text-based counseling is an important interface for AI mental-health support, where transcripts may ...
Background: Heterogeneity in symptom presentation and treatment response in irritable bowel syndrome...
Background: Aberrations in neuro-immune, metabolic, and oxidative stress (NIMETOX) pathways are impl...
The ability to adjust to changing environments (cognitive flexibility) and optimal decision-making a...
Every day, users generate digital traces (e.g., social media posts, chats, and online interactions) ...
Graph-based learning on functional magnetic resonance imaging (fMRI) has shown strong potential for ...
Background: Most studies seeking to identify youth at increased risk for depression have developed p...
The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...
Automated depression detection often relies on static aggregation of conversational signals, potenti...
Automatic depression detection from conversational interactions holds significant promise for scalab...
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered ...
Background Depressive symptoms among reproductive-aged women represent a major public health concern...
Resting-state functional magnetic resonance imaging (fMRI) has emerged as a cornerstone for psychiat...
Rationale: Quantifying and predicting plant morphology is central to understanding development and e...
The goal of this work was to leverage a large corpus of text based psychotherapy data to create nove...
Adolescent major depressive disorder (AMDD) is a prevalent and heterogeneous psychiatric condition t...