Psychiatry

Perspective: Depression in Persons with Parkinson's Disease.

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

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...

Examining the Use of Consumer Wearable Devices and Digital Tools for Stress Measurement in College Students: Scoping Review of Methods.

BACKGROUND: College-aged students face persistent academic and social stress that adversely affects ...

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.

Bridging the Scales via Personalized Cellular Modeling and Deep Phenotyping in Schizophrenia.

IMPORTANCE: While growing evidence implicates synaptic dysfunction as a key pathophysiological mecha...

Convolutional neural network for real‑time localization of ganglionated plexi from bipolar intracardiac electrograms.

BACKGROUND: Precise localization of ganglionated plexi (GP) is critical for effective cardioneuroabl...

Comparative Mortality Risk of Aripiprazole, Olanzapine, Quetiapine, and Risperidone in Alzheimer's Disease: A Real‑World Retrospective Cohort Study with Treatment Effect Heterogeneity Analysis.

BACKGROUND: Second-generation antipsychotics (SGAs) are frequently used off-label to manage behavior...

Deep learning characterizes depression and suicidal ideation in young adults from eye movements.

Objective biobehavioral markers for mental health conditions remain elusive, with diagnosis typicall...

A systematic review of the use of artificial intelligence in mental health-based diabetes care: Current applications and future directions.

AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental ...

Predicting future mortality risk in first-episode psychosis: External validation of the MIRACLE-FEP machine learning model.

BACKGROUND: Identifying patients with first-episode psychosis (FEP) at high mortality risk may facil...