Psychiatry

Stack-Engineered Mode Selection in PtMn/(Co/Pd)n Multilayers Enables Deterministic Analog Spin-Orbit Torque Synapses.

Spin-orbit-torque (SOT) devices that support both binary and analog switching can bridge spintronic ...

Mortality score in chronic coronary syndrome: prediction model from the ISCHEMIA trial.

AIMS: Accurate stratification of mortality risk is essential for management of chronic coronary synd...

Classification of functional near-infrared spectroscopy (fNIRS) signals in schizophrenia and bipolar disorder using deep learning methods.

BACKGROUND: Schizophrenia (SCZ) and Bipolar Disorder (BD) are prevalent mental disorders. This study...

A SEM-ANN analysis to examine impact of AI overreliance through a social cognitive lens: the roles of dependency, FOMO, addiction, and anxiety.

The rapid integration of artificial intelligence (AI) has transformed how people learn, work, and ma...

Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.

BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a hig...

The Performance of Wearable Device-Based Artificial Intelligence in Detecting Depression: Systematic Review and Meta-Analysis.

BACKGROUND: In recent years, advances in wearable sensor technology and artificial intelligence (AI)...

EEG based detection of schizophrenia using asymmetry of entropy and CNN-LSTM model.

Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-l...

Application of artificial intelligence in schizophrenia rehabilitation management: a systematic scoping review.

Artificial intelligence (AI) is increasingly used in mental health, yet its rehabilitation-oriented ...

Deep Brain Stimulation Induces Antidepressant Effects by Restoring High-Fidelity Communication in the BNST-NAc Circuit.

Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant i...

Association Between Digital Biomarkers of Health and Anxiety: Systematic Review and Meta-Analysis.

BACKGROUND: Digital biomarkers are gaining interest as proxy markers for mental health, as they enab...

Machine learning in the analysis of mental health at work: a scoping review.

OBJECTIVES: This scoping review aims to assess the role of machine learning in workplace mental heal...

Effectiveness of meditation in the management of epilepsy: An updated mini systematic review of recent findings.

BACKGROUND: Epilepsy is a chronic neurological disorder characterized by altered cortical excitabili...

A cautionary tale for AI and machine learning in psychiatry.

Artificial intelligence (AI) and machine learning (ML) have seen remarkable growth in mental health ...

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightene...

Association between the oxidative balance score and depressive symptoms in adults with metabolic syndrome: a cross-sectional study from NHANES.

OBJECTIVE: This study investigated the association between the Oxidative Balance Score (OBS) and the...

Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers.

Artificial intelligence (AI) technologies in mental healthcare offer promising opportunities to redu...

Integrative analysis via bioinformatics and machine learning identifies SERPING1 as a biomarker candidate for major depressive disorder.

The association between psychotropic medications and cognitive functioning in bipolar disorder.

BACKGROUND: Many individuals with bipolar disorder have decreased levels of cognitive functioning ev...

From pharmacokinetic genes to polygenic scores and multi-omic integration: advances towards precision psychiatry.

INTRODUCTION: . Pharmacological treatment is the mainstay in the acute and long-term management of s...

AI and Qualitative Health Research: Working Through a Necessary Grieving Process.

Qualitative health research has been shaken by the rapid uptake of artificial intelligence (AI), esp...

Transcriptomic analysis and machine learning have identified shared diagnostic genes and a possible mechanism linking bipolar disorder and epilepsy.

It is well known that bipolar disorder (BD) and epilepsy (EP) are common neurological diseases. The ...