Psychiatry

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

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Tracking Conditioned Fear in Pair-Housed Mice Using Deep Learning and Real-Time Cue Delivery.

Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that ari...

May 2025 40463247
Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Advances in Artificial Intelligence (AI) and other technologies together with increasing economic an...

May 2025 40380433
Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised Learning.

In this study, we attempted to identify the subtypes of autism spectrum disorder (ASD) with the help...

May 2025 40380736
COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling.

The therapeutic working alliance is a critical predictor of psychotherapy success. Traditionally, wo...

May 2025 40374613
Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations.

BACKGROUND: The global shortage of mental health professionals, exacerbated by increasing mental hea...

May 2025 40373033
A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS.

BACKGROUND: Depression associated with Chronic Obstructive Pulmonary Disease (COPD) is a detrimental...

May 2025 39988142
BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification

Recent studies have made great progress in functional brain network classification by modeling the...

Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...

May 2025 40428136
Effectiveness of AI-Driven Conversational Agents in Improving Mental Health Among Young People: Systematic Review and Meta-Analysis.

BACKGROUND: The increasing prevalence of mental health issues among adolescents and young adults, co...

May 2025 40367506
Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.

Electroencephalography (EEG) recordings are widely used in neuroscience to identify healthy individu...

May 2025 40358723
Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks.

BACKGROUND: This study aimed to determine whether handwriting patterns are altered in individuals ex...

May 2025 40361104
Blood immuno-metabolic biomarker signatures of depression and affective symptoms in young adults.

BACKGROUND: Depression is associated with alterations in immuno-metabolic biomarkers, but it remains...

May 2025 40374127
Unmet educational accommodation needs and mental health outcomes in adults with disabilities: A machine learning approach.

BACKGROUND: No research has yet determined exactly what accommodation needs are unmet for disabled s...

May 2025 40379558
Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder.

According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults s...

May 2025 40423258
Leveraging neighborhood-level Information to Improve Model Fairness in Predicting Prenatal Depression.

IMPORTANCE: Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial dis...

May 2025 40463575
Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care.

BACKGROUND: Escalating mental health demand exceeds existing clinical capacity, necessitating scalab...

May 2025 40152000
Early detection of mental health disorders using machine learning models using behavioral and voice data analysis.

People of all demographics are impacted by mental illness, which has become a widespread and interna...

May 2025 40360580
Association of risk factors with mental illness in a rural community: insights from machine learning models.

BACKGROUND: Mental health conditions, particularly depression and anxiety, are highly prevalent and ...

May 2025 40353568
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