Psychiatry

Intelligent consensus-based QSAR modeling and virtual screening of dual inhibitors of 5HT1A/5HT7 serotonin receptors.

Dual inhibitors of 5HT1A and 5HT7 serotonin receptors provide improved therapeutic effectiveness for depression, anxiety disorders, and neuropsychiatric conditions, potentially decreasing the necessity for multiple medications and reducing side effects. This study presents a cutting-edge computational framework for the discovery and optimization of dual 5HT1A/5HT7 inhibitors, integrating machine l...

A novel hybrid deep learning model using MEResNext for autism spectrum disorder detection.

A neurological disease, named autism spectrum disorder (ASD), is portrayed through divergence with social interaction, communication, and repetitive activities. As heredity is an important source, initial identification and treatment can diminish the need for wide examinations and expensive medical procedures for those with ASD. Prolonged effects and severity can be avoided at a timely determinati...

Can the mind perception of perceived artificial intelligence-generated content alleviate involution anxiety? A longitudinal study with social support as a mediator.

Involution anxiety, characterized by heightened stress and competition in educational and professional settings, is a significant psychological trait ...

Are clinical improvements in large language models a reality? Longitudinal comparisons of ChatGPT models and DeepSeek-R1 for psychiatric assessments and interventions.

BACKGROUND: Potential clinical applications for emerging large-language models (LLMs; e.g. ChatGPT) are well-documented, and newer systems (e.g. DeepS...

Cluster Analysis Reveals Subgroups with Different Risk Profiles and Sickness Absence Patterns in an Occupational Health Cohort.

PURPOSE: Using unsupervised and supervised machine learning methods, we aimed to identify clinically relevant groups of employees with similar charact...

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 major depression or schizophrenia under polypharmac...

Human-Like Epistemic Trust? A Conceptual and Normative Analysis of Conversational AI in Mental Healthcare.

The attribution of human concepts to conversational artificial intelligence (CAI) simulating human characteristics and conversation in psychotherapeut...

Beyond Adverse Childhood Experiences: What Should be Considered for Trauma-Focused Adolescent Mental Health Risk Assessments?

To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused assessment protocols need to be developed. To date, ...

Predicting the First Onset of Suicidal Thoughts and Behaviors in Adolescents Using Multimodal Risk Factors: A 4-Year Longitudinal Study.

OBJECTIVE: Suicide is one of the leading causes of death among youth worldwide, yet existing studies that aimed to predict the first onset of suicidal...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose,...

Predictive Modeling of Comorbid Depression and Anxiety Symptoms Among Prospective University Students: A GIS-Based and Machine Learning Study.

Prospective university students are highly susceptible to mental health issues such as depression and anxiety. This study investigates the prevalence ...

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosi...

PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders.

INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising disorders (ID), encompassing depressive, anxiety ...

Bridging molecular and cellular neuroscience with proximity labeling technologies.

Proximity labeling (PL) techniques have advanced neuroscience by revealing the molecular interactions that govern neural circuits. From foundational t...

From Snapshots to Stable Outcomes: Resting-State Functional Magnetic Resonance Imaging-Based Prognosis of Functioning in Patients With Psychosis Risk or Recent-Onset Depression.

BACKGROUND: Early recovery of functioning is critical for favorable outcomes in psychotic and affective disorders. Transdiagnostic brain activity patt...

Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes.

Polygenic risk scores (PRSs), which sum the effects of SNPs throughout the genome to measure risk afforded by common genetic variants, have improved o...

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational issue that threatens staff well-being and care qual...

Perceptions of Special Education Professionals in the Kingdom of Saudi Arabia Regarding the Integration of Artificial Intelligence in Diagnosing Autism Spectrum Disorder.

Autism spectrum disorder (ASD) diagnosis often presents challenges due to its complexity and reliance on subjective clinical assessments, potentially ...

Depression EEG classification based on multi-scale convolutional transformer network.

Depression electroencephalograph (EEG) classification based on machine learning is helpful for the auxiliary diagnosis of major depression disorder (M...

Identifying Psychosocial, Self-Management, and Health Profiles Among Women With Chronic Pain Who Have Experienced Intimate Partner Violence and Those Who Have Not: Protocol for a 2-Phase Qualitative and Cross-Sectional Study Using AI Techniques.

BACKGROUND: Women who experience intimate partner violence (IPV) are more likely to develop disabling chronic pain (CP). However, there is little info...