Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Showing 169-189 of 5,301 articles
Artificial intelligence and the wellbeing of workers.

This study explores the relationship between artificial intelligence (AI) and workers' well-being an...

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 a...

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

This systematic review aimed to explore the current applications, potential benefits, and issues of ...

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 differe...

Targeted Learning for Optimal Patient Assignment to Psychotherapy.

OBJECTIVE: Previous studies often fell short in identifying differences in treatment effects between...

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 individ...

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 coverag...

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 disorde...

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 signi...

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

Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerat...

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 pe...

The application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis.

OBJECTIVE: Generative Artificial Intelligence (GAI) has emerged as a promising and innovative techno...

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current to...

It is Time to Realize the Promise of the Digital Mental Health Transformation: Application for Population Mental Health.

The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving mo...

Reproducible sex differences in personalised functional network topography in youth.

BACKGROUND: A key step toward understanding psychiatric disorders that disproportionately impact fem...

Smartphone eye-tracking with deep learning: Data quality and field testing.

Eye-tracking is widely used to measure human attention in research, commercial, and clinical applica...

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