Psychiatry

Depression

Latest AI and machine learning research in depression for healthcare professionals.

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CLINPREAI: AN AGENTIC AI SYSTEM FOR EARLY POSTPARTUM DEPRESSION RISK PREDICTION FROM MULTIMODAL EHR DATA

Postpartum depression (PPD) affects 10–15% of mothers annually, yet early identification remains cha...

Personalized Machine Learning guided Intervention for Optimizing Lifestyle Behaviors in Depression

Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 mac...

Classifying and visualizing medication use in the Adolescent Brain Cognitive Development (ABCD) Study

Medication use during adolescence provides important insight into current health and treatment patte...

Machine learning-optimized perinatal depression screening: Maximum impact, minimal burden

Perinatal depression affects up to 30% of pregnant and postpartum women, which has increased since t...

Effect and Mechanisms of a Voice-based Coach using AI on Psychological Distress: A Phase 2 Randomized Trial

Artificial Intelligence (AI) voice applications have the potential to address the unmet treatment ne...

Detecting Mental Disorders in Social Media Using a Transformer-Based Ensemble of Binary Classifiers

This study introduces a novel transformer-based ensemble framework for the multi-label detection of ...

Mapping heterogeneity in the neuroanatomical correlates of depression

Major depressive disorder (MDD) affects millions worldwide, yet its neurobiological underpinnings re...

Peripheral Metabolic–Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence From Deep Metabolomic Phenotyping

Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NIMETOX) disor...

The Hypothalamic Medial Preoptic Area-Paraventricular Nucleus Circuit Modulates Depressive-Like Behaviors in a Mouse Model of Postpartum Depression.

Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...

Jan 2025 40370500
Predicting Suicidal Ideation Among Youths With Autism Spectrum Disorder: An Advanced Machine Learning Study.

This study aimed to predict suicidal ideation among youth with autism spectrum disorder (ASD) by app...

Jan 2025 40369905
From the -Factor to Cognitive Content: Detection and Discrimination of Psychopathologies Based on Explainable Artificial Intelligence.

Differentiating psychopathologies is challenging due to shared underlying mechanisms, such as the -...

Jan 2025 40421470
Acoustic-based machine learning approaches for depression detection in Chinese university students.

BACKGROUND: Depression is major global public health problems among university students. Currently, ...

Jan 2025 40443925
Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study.

CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of t...

Jan 2025 40435349
Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors.

Depression presents a significant challenge to global mental health, often intertwined with factors ...

Jan 2025 40367215
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