Psychiatry

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

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Who engages? Machine learning insights into digital mindfulness-based intervention for generalized anxiety disorder.

BACKGROUND: Although mindfulness ecological momentary interventions (MEMI) appear effective in allev...

Dec 2025 41422949
Screening for depressive symptoms in primary and secondary school students based on speech features: A one-year longitudinal study from Jiangsu, China.

OBJECTIVE: This study aims to develop and validate an interpretable prediction model for recognizing...

Dec 2025 41422969
Predicting perceived likelihood of future suicide attempts in youth with non-suicidal self-injury: A machine learning approach using LightGBM and SHAP.

OBJECTIVES: Non-suicidal self-injury (NSSI) is a strong predictor and a gateway to suicide attempts ...

Dec 2025 41422972
Artificial Intelligence in Mental Health: Promises and Perils.

The artificial intelligence (AI) revolution has already begun. AI scribes are charting. Chatbots are...

Dec 2025 41581959
Drug grouping learning for improving evidence-based treatment recommendations.

Clinical practice guidelines (CPGs) are essential tools that facilitate the translation of the growi...

Dec 2025 41421091
Integrating AI-driven technologies and facial-semantic features for depression detection: A cross-sectional study.

BACKGROUND: Depression is a major global health concern, still individuals with depressive tendencie...

Dec 2025 41421622
Differential factor effects in comorbid depressive and anxiety symptoms (CDAS): A machine learning approach to individualized mental health promotion.

BACKGROUND: Depression and anxiety comorbid presents greater severity than isolated symptoms. Tradit...

Dec 2025 41421612
The scope of cardiology research: More than 300 topics covered through bibliometric evaluation.

This study provides a bibliometric overview of cardiovascular-related bibliometric research identifi...

Dec 2025 41421432
Digital phenotyping of depression: A multi-modal passive sensing approach to identifying novel behavioral and physiological markers of treatment response.

BACKGROUND: Despite advances in treatment approaches for Major Depressive Disorder (MDD), significan...

Dec 2025 41435616
Development of a machine learning model to predict the expanded disability status scale in multiple sclerosis patients.

OBJECTIVE: The assessment of disability in multiple sclerosis (MS) patients is crucial for treatment...

Dec 2025 41447910
Artificial Intelligence: Promises and Perils for Employer-Sponsored Mental Health and Well-Being Initiatives.

Artificial intelligence (AI) is reshaping employer-sponsored mental health and well-being initiative...

Dec 2025 41413010
An explainable predictive machine learning model reveals ARRB2 as a key gene in post-traumatic stress disorder: A GEO database study.

A number of processes and pathways have been reported in the development of Post-Traumatic Stress Di...

Dec 2025 41418454
Leveraging low-cost app-based step count data to assess depression and anxiety in university students: A cross-sectional mobile health study.

BACKGROUND: The prevalence of depression and anxiety among college students worldwide is on the rise...

Dec 2025 41407112
Urinary steroid metabolome shows adrenal, gonadal, and neuroactive steroid dysregulation in adolescents with depressive symptoms.

BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (...

Dec 2025 41389873
Adaptive network based fuzzy inference system efficientnet for autism spectrum disorder detection with optimization based pivotal region extraction.

Autism Spectrum Disorder (ASD) refers to abnormal neural activity that may increase the risk of prem...

Dec 2025 41442887
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