Psychiatry

Depression

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

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Lateral flow and colorimetric assay for ketamine detection reinforced with deep learning model interfaced with mobile app for smart alert.

Point-of-care (POC) devices have grown in popularity due to their ease of use, low cost, and speedy ...

Exposotypes in psychotic disorders.

Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction c...

Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review.

BACKGROUND: A popular trend in depression forecasting research is the development of machine learnin...

Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.

Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learnin...

Determinants of depressive symptoms in multinational middle-aged and older adults.

This study harnesses machine learning to dissect the complex socioeconomic determinants of depressio...

Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment.

Depression is a prevalent mental health disorder that significantly impacts well-being and qual...

Personalized ML-based wearable robot control improves impaired arm function.

Portable wearable robots offer promise for assisting people with upper limb disabilities. However, m...

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study.

BACKGROUND: Depression is a mental health condition that affects millions of people worldwide. Altho...

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression.

-Methyl-d-aspartate receptors (NMDARs) are extensively distributed throughout the central nervous sy...

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...

AI-based prediction of depression symptomatology in first-episode psychosis patients: insights from the EUFEST and RAISE-ETP clinical trials.

BACKGROUND: Depressive symptoms are highly prevalent in first-episode psychosis (FEP) and worsen cli...

Diagnosis of Major Depressive Disorder Based on Multi-Granularity Brain Networks Fusion.

Major Depressive Disorder (MDD) is a common mental disorder, and making an early and accurate diagno...

Brain Oscillations in Bipolar Disorder: Insights from Quantitative EEG Studies.

IntroductionQuantitative electroencephalography (QEEG) is a neurophysiological tool that analyzes br...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for m...

A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.

This study aims to identify depressive risks in elderly individuals with subjective cognitive declin...

Ambulatory physiological state dynamics predict proximal behavioral markers of affect regulation in everyday life.

Human physiology reflects the body's capacity for self-regulation that is crucial for flexible adapt...

High-frequency oscillations in the mammalian brain after ketamine and other NMDA receptor antagonists.

Subanesthetic doses of ketamine produce complex neuropsychiatric effects, which include rapid psycho...

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