Psychiatry

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

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Differentiating adolescent suicidal and nonsuicidal self-harm with artificial intelligence: Beyond suicidal intent and capability for suicide.

Clinical differentiation between adolescent suicidal self-harm (SSH) and nonsuicidal self-harm (NSSH...

Feb 2025 39955075
A systematic review of structural neuroimaging markers of psychotherapeutic and pharmacological treatment for obsessive-compulsive disorder.

Identifying individual difference factors associated with treatment response and putative mechanisms...

Feb 2025 40018086
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation.

BACKGROUND: The prevalence of adolescent mental health conditions such as depression and anxiety has...

(2)
Feb 2025 39937988
Apriori algorithm based prediction of students' mental health risks in the context of artificial intelligence.

INTRODUCTION: The increasing prevalence of mental health challenges among college students necessita...

(1)
Feb 2025 40013053
A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD.

BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder ...

(1)
Feb 2025 40013023
Differentiating Functional Connectivity Patterns in ADHD and Autism Among the Young People: A Machine Learning Solution.

OBJECTIVE: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions wit...

Feb 2025 39927595
Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study.

BACKGROUND: As artificial intelligence (AI) tools are integrated more widely in psychiatric medicine...

Feb 2025 39928397
Analyzing patterns of frequent mental distress in Alzheimer's patients: A generative AI approach.

This study tackles creating Python code for beginners with generative AI and analyzing trends in men...

(1)
Feb 2025 39924385
Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities.

BACKGROUND: Early maladaptive schemas (EMSs) are pervasive, self-defeating patterns of thoughts and ...

Feb 2025 39919286
The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis.

BACKGROUND: The increasing deployment of conversational artificial intelligence (AI) in mental healt...

(1)
Feb 2025 39919295
Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder.

Although the efficacy of pharmacy in the treatment of attention deficit/hyperactivity disorder (ADHD...

Feb 2025 39920114
Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications.

Artificial intelligence (AI) has been recently applied to different mental health illnesses and heal...

Feb 2025 39911020
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.

The human brain is a highly complex neurological system that has been the subject of continuous expl...

(3)
Feb 2025 38356216
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation.

This work focuses on the efficiency of the knowledge distillation approach in generating a lightweig...

Feb 2025 39913350
Predictors of depression among Chinese college students: a machine learning approach.

BACKGROUND: Depression is highly prevalent among college students, posing a significant public healt...

Feb 2025 39910488
Lurasidone uses and dosages in Spain: RETROLUR, a real-world retrospective analysis using artificial intelligence.

INTRODUCTION: Lurasidone is used for schizophrenia and bipolar depression in many countries, yet the...

Feb 2025 40013022
Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.

BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression...

(1)
Feb 2025 39914753
M₂DC: A Meta-Learning Framework for Generalizable Diagnostic Classification of Major Depressive Disorder.

Psychiatric diseases are bringing heavy burdens for both individual health and social stability. The...

Feb 2025 39283781
A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical pr...

(1)
Feb 2025 39909164
Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network.

Previous deep learning-based brain network research has made significant progress in understanding t...

(2)
Feb 2025 39900572
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