Psychiatry

Depression

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

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A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry.

The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug develop...

Mar 2025 40088712
AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data.

BACKGROUND: Suicide is a major global health issue, with approximately 700,000 deaths annually (WHO)...

(1)
Mar 2025 40107042
Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...

Mar 2025 40081793
Altered resting-state brain activity in patients with major depression disorder and bipolar disorder: A regional homogeneity analysis.

BACKGROUND: Major Depressive Disorder (MDD) and Bipolar Disorder (BD) exhibit overlapping depressive...

Mar 2025 40081596
A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care.

General practitioners play an essential role in identifying depression and are often the first point...

Mar 2025 40063259
Continuous nursing symptom management in cancer chemotherapy patients using deep learning.

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, a...

(2)
Mar 2025 40055437
Prediction of postpartum depression in women: development and validation of multiple machine learning models.

BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to de...

Mar 2025 40055720
Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm.

OBJECTIVE: To explore the risk factors that affect adolescents' suicidal and self-injurious behavior...

(3)
Mar 2025 40115313
A machine learning approach to predict treatment efficacy and adverse effects in major depression using CYP2C19 and clinical-environmental predictors.

BACKGROUND: Major depressive disorder (MDD) is among the leading causes of disability worldwide and ...

(1)
Mar 2025 40008580
Real-time monitoring to predict depressive symptoms: study protocol.

INTRODUCTION: According to the World Health Organization, Depression is the fourth leading cause of ...

Mar 2025 40110506
Circadian rhythm modulation in heart rate variability as potential biomarkers for major depressive disorder: A machine learning approach.

Major depressive disorder (MDD) is associated with reduced heart rate variability (HRV), but its lin...

(1)
Mar 2025 40086223
Bootstrap inference and machine learning reveal core differential plasma metabolic connectome signatures in major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) involves molecular alterations and pathway dysregulation...

Mar 2025 40044084
The role of senescence-related genes in major depressive disorder: insights from machine learning and single cell analysis.

BACKGROUND: Evidence indicates that patients with Major Depressive Disorder (MDD) exhibit a senescen...

(2)
Mar 2025 40033248
Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study.

BACKGROUND: Depression, characterized by persistent sadness and loss of interest in daily activities...

(1)
Mar 2025 40053734
Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets.

Objective classification biomarkers that are developed using resting-state functional magnetic reson...

(4)
Feb 2025 40068496
Social media content and suicidality: Implications for practice.

Artificial intelligence is a useful tool for examining suicidality on social media, where people sha...

Feb 2025 40014531
Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta-Analysis.

AIM: To synthesise existing evidence concerning the application of AI methods in detecting depressio...

Feb 2025 39994873
Validation of a machine learning model for indirect screening of suicidal ideation in the general population.

Suicide is among the leading causes of death worldwide and a concerning public health problem, accou...

(2)
Feb 2025 39994320
Optimizing depression detection in clinical doctor-patient interviews using a multi-instance learning framework.

In recent years, the number of people suffering from depression has gradually increased, and early d...

(1)
Feb 2025 39994325
Neurobiologically interpretable causal connectome for predicting young adult depression: A graph neural network study.

BACKGROUND: There is a surprising lack of neuroimaging studies of depression that not only identify ...

Feb 2025 39988139
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