Psychiatry

Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

BACKGROUND: Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental health sector in Ireland deals with highly sensitive psychiatric case notes based on patient-doctor conversations. Such data, therefore, must be collected, analyzed, and stored with an a...

Sleep disturbances and PTSD: identifying baseline predictors of insomnia response in an intensive treatment programme.

This study examined whether baseline demographic and clinical variables could predict clinically significant reductions in insomnia symptoms among veterans receiving a 2-week Cognitive Processing Therapy (CPT)-based intensive PTSD treatment programme (ITP). A key aim was to identify individuals likely to benefit from additional, sleep-focused interventions. A total of 449 veterans completed the I...

Born to Fear the Machine? Genetic and Environmental Influences on Negative Attitudes toward AI Agents.

Despite the rapid development of artificial intelligence (AI) agents, substantial individual differences in public acceptance persist. To explain the ...

AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

This systematic review aimed to explore the current applications, potential benefits, and issues of artificial intelligence (AI) in medical questionna...

Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization.

Selective serotonin reuptake inhibitors (SSRIs) like sertraline are crucial in treating depression and anxiety disorders, and studies indicate their p...

Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.

Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide ac...

Artificial intelligence and the wellbeing of workers.

This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germa...

Development of the treatment prediction model in the artificial intelligence in depression - medication enhancement study.

We introduce an artificial intelligence model to personalize treatment in major depression, which was deployed in the Artificial Intelligence in Depre...

Intervention through an intelligent technological platform for socio-emotional development and health promotion in adolescents with Type 1 Diabetes Mellitus (emoTICare): A study protocol for randomized controlled trial.

BACKGROUND: During adolescence, individuals face various challenges that require adequate psychosocial and emotional adjustment. Additionally, the pre...

Targeted Learning for Optimal Patient Assignment to Psychotherapy.

OBJECTIVE: Previous studies often fell short in identifying differences in treatment effects between psychotherapeutic frameworks. Instead of focusing...

Leveraging machine learning to uncover the hidden links between trusting behavior and biological markers.

Understanding the decision-making mechanisms underlying trust is essential, particularly for individuals with mental disorders who often experience di...

Use of childhood adversity and mental health admission patterns to predict suicide in young people.

Dougall et al found that mental health admissions are a strong predictor of suicide risk in young people. The findings can improve machine learning mo...

Evaluation of flight crew risk factors in aviation occupational health and safety: Application of Fermatean Fuzzy DEMATEL approach and machine learning.

BackgroundFlight crews operate in an environment surrounded by a wide array of physical, chemical, biological, ergonomic, and psychosocial risks. It i...

A New Insight in Cellular and Molecular Signaling Regulation for Neural Differentiation Program.

Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerative diseases such as Alzheimer's and Parkinson's d...

Social Media and Youth Mental Health: Scoping Review of Platform and Policy Recommendations.

BACKGROUND: High rates of social media use and mental ill-health among young people have drawn significant public, policy, and research concern. Rapid...

Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea.

INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantly affect quality of life and cause societal burden...

The value of multimodal neuroimaging in the diagnosis and treatment of post-traumatic stress disorder: a narrative review.

Post-traumatic stress disorder (PTSD) is a delayed-onset or prolonged persistent psychiatric disorder caused by individuals experiencing an unusually ...

Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.

The responsible reporting of suicide in media is crucial for public health, as irresponsible coverage can potentially promote suicidal behaviors. This...

Comparison of a novel gamified binocular therapy and standard monocular patching therapy in treating unilateral amblyopia in young children: a prospective, multicenter, randomized controlled trial.

BACKGROUND: Amblyopia is a leading cause of visual impairment in children, and conventional treatments often encounter challenges related to poor comp...

Reproducible sex differences in personalised functional network topography in youth.

BACKGROUND: A key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of ...