Psychiatry

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

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Showing 1618-1638 of 5,967 articles
Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses.

Multifunctional hardware technologies for neuromorphic computing are essential for replicating the c...

Jan 2025 39804804
Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder.

BACKGROUND: Anhedonia and suicidal ideation are symptoms of major depressive disorder (MDD) that are...

Jan 2025 39806393
AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders.

INTRODUCTION: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adul...

Jan 2025 39872430
Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning.

Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diag...

Jan 2025 39860780
Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence sug...

Jan 2025 39805501
Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.

Depression treatment responses vary widely among individuals. Identifying objective biomarkers with ...

Jan 2025 39799114
Application of machine learning in depression risk prediction for connective tissue diseases.

This study retrospectively collected clinical data from 480 patients with connective tissue diseases...

Jan 2025 39799210
Is Artificial Intelligence the Next Co-Pilot for Primary Care in Diagnosing and Recommending Treatments for Depression?

Depression poses significant challenges to global healthcare systems and impacts the quality of life...

Jan 2025 39846703
Multi-center brain age prediction via dual-modality fusion convolutional network.

Accurate prediction of brain age is crucial for identifying deviations between typical individual br...

Jan 2025 39826435
Musicians and researchers: two creative professions striving to improve heart health through music.

Musicians and researchers are creative professions that share many similarities. They both aim to br...

Jan 2025 39866798
Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

INTRODUCTION: Excessive alcohol consumption negatively impacts physical and psychiatric health, life...

Jan 2025 39867451
A novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS.

INTRODUCTION: As a hallmark feature of amyotrophic lateral sclerosis (ALS), bulbar involvement signi...

Jan 2025 39867453
Depression-related innate immune genes and pan-cancer gene analysis and validation.

BACKGROUND: Depression, a prevalent chronic mental disorder, presents complexities and treatment cha...

Jan 2025 39867577
Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children.

BACKGROUND: Due to the importance and the consequences of anxiety, the goals of the current study ar...

Jan 2025 39793665
Enhancing prediction of major depressive disorder onset in adolescents: A machine learning approach.

Major Depressive Disorder (MDD) is a prevalent mental health condition that often begins in adolesce...

Jan 2025 39823922
Machine-learning-based cost prediction models for inpatients with mental disorders in China.

BACKGROUND: Mental disorders are increasingly prevalent, leading to increased medical expenditures. ...

Jan 2025 39789477
Prediction of health anxiety using resting-state functional near-infrared spectroscopy and machine learning.

BACKGROUND: The role of cortical networks in health anxiety remain poorly understood. This study aim...

Jan 2025 39793619
Predicting cardiovascular disease in patients with mental illness using machine learning.

BACKGROUND: Cardiovascular disease (CVD) is twice as prevalent among individuals with mental illness...

Jan 2025 39773769
The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries.

Generative artificial intelligence (genAI) has potential to improve healthcare by reducing clinician...

Jan 2025 39774367
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