Psychiatry

Analysis of language patterns in schizophrenia based on natural language processing.

BACKGROUND: Schizophrenia is a severe mental disorder, with language dysfunction being one of its pr...

Illustrating a framework for assessing generative artificial intelligence-based conversational agents for mental health.

BACKGROUND: Generative Artificial Intelligence (AI)-based conversational agents (CAs) hold promise f...

Use of human data for risk assessment of pesticides: A review including an evaluation of trichlorfon as case study.

Pesticides are suspected to cause health effects in humans, but human-based data on their toxicity a...

Mental disorders & self-injurious thoughts and behaviors predict high risk of role impairment among university students - results from the world mental health international college student initiative.

OBJECTIVE: We examined psychopathological conditions accounting for the highest risk of role impairm...

Analysis of the influential factors of depression in the elderly based on CHARLS through partial least squares structural equation and random forest modeling.

OBJECTIVE: We aimed to explore how influential factors, such as chronic diseases, disability and soc...

Development of a machine learning-based prediction model for bipolar disorder relapse via integration of 1H-NMR metabolomics and clinical features.

BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric illness characterized by recurrent episod...

Intelligent electroencephalogram feature engineering for rapid mental health diagnosis.

Schizophrenia is one of the serious disorders and, if left untreated, can result in a range of probl...

Corrigendum to 'Machine learning-based prediction of delirium in older patients with chronic kidney disease requiring intensive care: A hospital-based retrospective cohort study' [Journal of Psychosomatic Research, 200 (2026), article PSR_112454].

Major depressive disorder and Hashimoto's thyroiditis: Shared immunometabolic signatures revealed by integrative transcriptomics.

Major depressive disorder (MDD) and Hashimoto's thyroiditis (HT) frequently co-occur, yet their shar...

Multimodal-based deep learning detected disrupted precuneus connectivity and its related genetic profiles for predicting adults with ADHD.

BACKGROUND: Integrating neuroimaging genetics data may enhance the diagnosis and understanding of ad...

The Influence of Sport Representation and Attitudes Toward Strength Training on Neuromuscular Performance Profiles in University Athletes: Part I Female Athletes.

McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The inf...

The engagement behaviors and treatment barriers for depressed patients in an online health community: a pre-/post-treatment comparison.

The treatment of depression involves numerous barriers, both before and after individuals seek profe...

Developing and Validating a Prediction Model for the Severe Pain-Fatigue-Sleep Disturbance Symptom Cluster in Patients with Lung Cancer Following Chemotherapy: A Machine Learning Analysis.

OBJECTIVES: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster ...

Pharmacoepidemiologic characterization of cannabis use and symptomatology in rheumatology using natural language processing of electronic health record clinic notes.

Up to 70% of patients with autoimmune rheumatic diseases (ARDs), including rheumatoid arthritis, pso...

ELAI-SGCN: An explainable lightweight adaptive information-perceiving spiking graph convolutional network for EEG-based emotion recognition.

BACKGROUND: Emotion recognition is increasingly essential for diagnosing mental disorders like depre...

Curcumin reprograms metabolic pathways and MAPK signaling to exert antidepressant effects.

BACKGROUND: Depression is a prevalent and debilitating mental disorder with limited treatment option...

Evaluating ChatGPT-generated psychoeducation for mood disorders: comparative insights from patients and mental health professionals.

INTRODUCTION: Psychoeducation is a key intervention in mood disorders. With the rise of artificial i...

Detection of major depressive disorder in adolescents based on textual and acoustic features.

BACKGROUND: Adolescent major depressive disorder (MDD) has become a growing public health concern, w...

Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications.

The integration of artificial intelligence (AI) into the field of mental health diagnosis has garner...

Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI.

Resting-state functional MRI (rs-fMRI) is widely used for diagnosing and analyzing brain disorders. ...

Machine Learning Algorithms for Predicting Injurious Fall Risk Among Older Adults With Depression: A Prognostic Modeling Study.

BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression....