Psychiatry

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

7,016 articles
Stay Ahead - Weekly Psychiatry research updates
Subscribe
Browse Categories
Showing 652-672 of 7,016 articles
Bioinformatics analysis reveals the characteristics of immune microenvironment in major depressive disorder and vitiligo.

BACKGROUND: Major depressive disorder (MDD) and vitiligo often occur together, worsening patient out...

(3)
Jul 2026 42418414
Neurological roots of emotional ambivalence: from brain networks to clinical implications.

Introduction: Emotional ambivalence - the coexistence of conflicting positive and negative feelings ...

(1)
Jul 2026 42411784
Deep Learning Reveals Cross-Modal Neural Representations of Auditory and Visual Mental Imagery in MEG.

Mental imagery provides a unique window into the brain's ability to internally simulate sensory expe...

Jul 2026 42412122
The role and application of task-state fNIRS in identifying biomarkers in children and adolescents with ADHD: a systematic review.

Attention Deficit Hyperactivity Disorder (ADHD), a prevalent neurodevelopmental condition, urgently ...

(1)
Jul 2026 42412228
Understanding Drivers of Physical Activity Through Explainable Machine Learning: The Role of Disability and Social Determinants.

BACKGROUND: Physical activity among adults with disabilities is influenced by functional limitations...

(1)
Jul 2026 42413907
Capturing omega sign in the clinical assessment of depression by deep learning.

The omega sign is a melancholic facial expression, resembling the Greek letter omega "Ω". To study s...

Jul 2026 42414259
Early identification of psychotherapeutic change: AI-derived predictors from routine data.

Measurement-based care has been shown to be an efficacious way to improve therapy outcomes. The use ...

Jul 2026 42406433
Suicide risk prediction and analysis of associated factors among high school students in four provinces of China based on explainable machine learning.

BACKGROUND: Suicidal ideation (SI) among adolescents is a severe global public health issue; however...

Jul 2026 42409222
The Cyber Paranoia and Fear Scale-Updated (CPFS-U): development and implications for digital health engagement.

OBJECTIVES: To update and revalidate the Cyber Paranoia and Fear Scale to reflect current technologi...

Jul 2026 42409404
Decoding the neural stages from action and object recognition to mentalizing.

Higher-level action interpretation, such as inferring underlying intentions and predicting future ac...

Jul 2026 42409637
Ecological assessment of transdiagnostic clinical symptoms in serious mental illness with daily smartphone surveys.

Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-base...

(1)
Jul 2026 42409775
Analysis of electrohysterogram signals for predicting obstetric outcome using machine learning methods: a scoping review.

PURPOSE: Efficiently detecting obstetric outcomes, such as preterm birth or mode of delivery, is cru...

Jul 2026 42410377
Microbiota-gut-brain axis in autism spectrum disorder: integrating brain structure, function, and transcriptomics.

Growing evidence indicates that disruption of the microbiota-gut-brain (MGB) axis is a key factor in...

Jul 2026 42402632
Dissecting first-episode psychosis heterogeneity with clustering analyses: a systematic review.

INTRODUCTION: First episode psychosis (FEP) refers to a variable clinical presentation of the onset ...

(1)
Jul 2026 42401320
A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.

BACKGROUND: Mental health conditions such as depression, anxiety, and stress are commonly assessed u...

(2)
Jul 2026 42401748
RankVar: machine learning-based variant ranking and reinterpretation for rare genetic diseases.

BACKGROUND: Prior biological knowledge and phenotype information can help identify disease genes fro...

Jul 2026 42401968
Pediatric precision sleep network: a study protocol for identifying sleep signatures of mental health risk in peri-adolescents.

BACKGROUND: Peri-adolescence (ages 10-13) is a sensitive-and clinically critical-developmental windo...

(2)
Jul 2026 42393597
Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.

BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights...

(2)
Jul 2026 42393616
Browse Categories