Psychiatry

Uncertainty aware domain incremental learning for cross domain depression detection.

Deep learning techniques have demonstrated significant promise for detecting Major Depressive Disord...

Mapping the Landscape of Spiritual Intelligence: A Bibliometric Analysis of Trends, Patterns and Future Directions.

This study provides an in-depth bibliometric analysis of research on spiritual intelligence (SI) usi...

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 rheuma...

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 an...

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 app...

[Artificial Intelligence in Portugal's National Medical Residency Exam: A Psychiatric Perspective].

Bridging molecular and cellular neuroscience with proximity labeling technologies.

Proximity labeling (PL) techniques have advanced neuroscience by revealing the molecular interaction...

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...

Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old.

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational i...

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 af...

Artificial intelligence-assisted nursing in cancer care: A meta-analysis of its impact on pain, anxiety, and quality of life.

BACKGROUND: In recent years, artificial intelligence (AI) applications have been recognized as a sup...

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with majo...

Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. ...

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 disablin...

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

Depression electroencephalograph (EEG) classification based on machine learning is helpful for the a...

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 relianc...

Gut microbiota composition is related to anxiety and aggression scores in companion dogs.

There is mounting evidence for a link between behaviour and the gut microbiome in animal and human h...

Beyond the human touch: A critical review of the promise and challenges of animal- and robot-assisted therapy in loneliness and mental healthcare.

Mental health disorders, including depression, anxiety, post-traumatic stress disorder, and dementia...

Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.

IMPORTANCE: The prevalence of severe mental illnesses (SMIs) in the United States is approximately 3...

Psychiatrists' and trainees' knowledge, perception, and readiness for integration of artificial intelligence in mental health care in Nigeria.

BACKGROUND: Artificial intelligence (AI) is revolutionising healthcare globally, including in Nigeri...