Psychiatry

Predicting Long-Term Depression Progression in Parkinson's Disease: A Machine-Learning Survival Analysis and Risk Score.

BACKGROUND: Depression in Parkinson's disease (dPD) is common and heterogeneous, impairs quality of ...

The Mediating Role of Artificial Intelligence Anxiety in The Effect of Nurses' Attitudes Toward Health Technologies on Their Readiness for Medical Artificial Intelligence.

AIM: This study aims to evaluate the mediating role of artificial intelligence (AI) anxiety in the e...

Anxiety detection using neural and physiological signals and artificial intelligence: A comprehensive review.

Anxiety disorders are a significant challenge to global health, yet current diagnostic methods rely ...

AI-powered methods for psychological assessment in adolescence psychological disorders: A systematic review and meta-analysis.

Artificial intelligence (AI)-powered assessment, with its ability to process multimodal data and sup...

Artificial intelligence for adaptive neuromodulation in drug-resistant epilepsy.

Drug-resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated wit...

Perspective: Depression in Persons with Parkinson's Disease.

Depression is a prevalent and disabling syndrome characterized by sustained sadness and/or anhedonia...

Neurobiological Signatures of Trauma, Personality, and Depressivity: A Transdiagnostic Machine Learning Study in Adolescents and Young Adults.

BACKGROUND: Adolescence and early adulthood are periods of increased vulnerability for psychiatric d...

Closing the Gap in Autism Genetics: Population-Specific Variants and the Imperative for Global Inclusion.

Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental condition with an exceptiona...

Disentangling race and ethnicity in predicting symptoms of depression among young adults: A machine learning approach.

PURPOSE: Research is needed to understand racial and ethnic differences in symptoms of depression. U...

Predicting depression treatment outcomes for cognitive behavioural therapy using machine learning: A systematic review and meta-analysis.

BACKGROUND: Cognitive behavioural therapy (CBT) is an empirically-supported treatment for depression...

Smartphone-based digital phenotyping for detection of high-risk depression and anxiety in Korean community settings.

BACKGROUND: Smartphones generate continuous behavioral signals such as mobility and activity pattern...

Developing policy and regulation for the safer use of artificial intelligence technologies for mental health in Australia.

Artificial intelligence is emerging as a powerful tool for improving mental health research and care...

Help-Seeking in the Age of AI: Cross-Sectional Survey of the Use and Perceptions of AI-Based Mental Health Support Among US Adults.

BACKGROUND: Anecdotal evidence suggests that an increasing number of people are turning to generativ...

Fluency without understanding: risks of large language models in mental healthcare.

We always treat fluent language as a marker of intelligence and trustworthiness, often independent o...

Don't predict if you cannot interpret: investigating the clinical viability of facial movements for machine-learning assisted diagnostics of bipolar disorder.

BACKGROUND: Numerous studies have explored the possibility of developing automatic detection pipelin...

Preferences, tailoring, and self-tailoring in internet-delivered treatments: lessons learned.

INTRODUCTION: Internet-delivered psychological treatments have been developed and tested in many tri...

Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review.

BACKGROUND: Generative artificial intelligence (AI) chatbots have rapidly entered public use, includ...

Impact of an Immersive AI Simulation on Nursing Student Attitudes Toward Mental Illness.

There is simultaneously a global shortage of mental health professionals and a rising demand for men...

Blood plasma proteomic biomarkers for forecasting transition to psychosis in an Asian cohort.

Plasma proteomic biomarkers hold significant promise for enhancing clinical assessments and improvin...

Exploring White Matter Microstructural Abnormalities Using MRI in Women With Premenstrual Dysphoric Disorder via Brain Connectome.

BACKGROUND: The neurostructural underpinnings of premenstrual dysphoric disorder (PMDD), particularl...

Empowering mental health professionals in asynchronous online psychotherapy with GenAI.