Psychiatry

An approach to screen susceptible rats and efficacy of an antidepressive treatment after chronic stress.

Chronic stress during life has been considered a risk factor for the development of psychiatric illn...

Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies.

BACKGROUND: Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, wit...

Links between self-monitoring data collected through smartphones and smartwatches and the individual disease trajectories of adult patients with depressive disorders: Study protocol of a one-year observational trial.

Depression is highly recurrent and heterogenous in its individual course, requiring a personalized t...

HEDL: Deep learning multiple approaches for early detection of depression using sarcastic text.

Sarcasm is particularly notorious towards mental health, and thus it is quite essential for early id...

Do Transformers and CNNs Learn Different Concepts of Brain Age?

"Predicted brain age" refers to a biomarker of structural brain health derived from machine learning...

Can Electroencephalography and Machine Learning Predict Treatment Response to Transcranial Magnetic Stimulation in Depression?

Artificial intelligence driven mental health diagnosis based on physiological signals.

Mental health disorders like stress, anxiety, and depression are increasing rapidly these days. Diag...

Comprehensive Characterization of Antidepressant Pharmacogenetics: A Systematic Review of Studies in Major Depressive Disorder.

Pharmacogenetics is a promising strategy to facilitate individualized care for patients with Major D...

Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators.

The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute...

Neuroimaging and machine learning in eating disorders: a systematic review.

PURPOSE: Eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), and binge ea...

From Prediction to Action: Moving Beyond Machine Learning to Implementing Evidence-Based Perinatal Mental Health Care.

Differentiating Treatment-Resistant Depression With and Without Parkinsonism in the Elderly From a Psychiatric Perspective by Tc-TRODAT-1 SPECT Imaging.

OBJECTIVES: Late-life depression often overlaps with neurodegenerative diseases leading to diagnosti...

Addressing Workforce and Ethical Gaps in AI-Driven Mental Health Care: A Response to Higgins and Wilson.

Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...

Robot or human musicians? The modulating role of perceived performer on how music influences food choices.

Previous research has shown that music robots may reshape people's perceptions of music and health-r...

[Health Equity in Mental Health Care: Challenges for Nurses and Related Preparation].

Individuals with mental illness face significant challenges in achieving health equity due to social...

Stratifying Risk for Postpartum Depression at Time of Hospital Discharge.

OBJECTIVE: Postpartum depression (PPD) is a major contributor to postpartum morbidity and mortality....

Exploring the link between grandmaternal air pollution exposure and Grandchild's ASD risk: A multigenerational population-based study in California.

BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with increasing prevalen...

The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality.

The expanding domain of digital mental health is transitioning beyond traditional telehealth to inco...

Suicide ideation detection based on documents dimensionality expansion.

Accurate and secure classifying informal documents related to mental disorders is challenging due to...

Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease,...

Effect of Cumulative Exposure on the Efficacy of Paroxetine: A Population Pharmacokinetic-Pharmacodynamic and Machine Learning Analyses.

Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, th...