Psychiatry

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

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Brain-specific functional relationship networks inform autism spectrum disorder gene prediction.

Autism spectrum disorder (ASD) is a neuropsychiatric disorder with strong evidence of genetic contri...

Visual mental imagery: A view from artificial intelligence.

This article investigates whether, and how, an artificial intelligence (AI) system can be said to us...

High efficiency classification of children with autism spectrum disorder.

Autism spectrum disorder (ASD) is a wide-ranging collection of developmental diseases with varying s...

Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

In the last decade robotic devices have been applied in rehabilitation to overcome walking disabilit...

Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.

Autistic Spectrum Disorder (ASD) is a mental disorder that retards acquisition of linguistic, commun...

Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

BACKGROUND: Stress recognition using electrocardiogram (ECG) signals requires the intractable long-t...

A YinYang bipolar fuzzy cognitive TOPSIS method to bipolar disorder diagnosis.

BACKGROUND AND OBJECTIVE: Bipolar disorder is often mis-diagnosed as unipolar depression in the clin...

Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination.

BACKGROUND: The International Challenge for Automated Prediction of MCI from MRI data offered indepe...

Identifying neuropsychiatric disorders using unsupervised clustering methods: Data and code.

This article provides data for five different neuropsychiatric disorders-Attention Deficit Hyperacti...

GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly t...

Predicting suicidal ideation in primary care: An approach to identify easily assessable key variables.

OBJECTIVE: To obtain predictors of suicidal ideation, which can also be used for an indirect assessm...

Functional Categorization of Disease Genes Based on Spectral Graph Theory and Integrated Biological Knowledge.

Interaction of multiple genetic variants is a major challenge in the development of effective treatm...

Machine Learning Approaches for Clinical Psychology and Psychiatry.

Machine learning approaches for clinical psychology and psychiatry explicitly focus on learning stat...

A Biologically Inspired Approach to Frequency Domain Feature Extraction for EEG Classification.

Classification of electroencephalogram (EEG) signal is important in mental decoding for brain-comput...

Music Intervention Leads to Increased Insular Connectivity and Improved Clinical Symptoms in Schizophrenia.

Schizophrenia is a syndrome that is typically accompanied by delusions and hallucinations that might...

Hydrogen-rich water for improvements of mood, anxiety, and autonomic nerve function in daily life.

Health and a vibrant life are sought by everyone. To improve quality of life (QOL), maintain a healt...

The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning.

Machine learning techniques were used to identify highly informative early psychosis self-report ite...

Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity.

Despite significant progress in the field, the detection of fMRI signal changes during hallucinatory...

A Machine Learning Approach to Identifying Placebo Responders in Late-Life Depression Trials.

OBJECTIVE: Despite efforts to identify characteristics associated with medication-placebo difference...

Real-time estimation of lesion depth and control of radiofrequency ablation within ex vivo animal tissues using a neural network.

BACKGROUND: Radiofrequency ablation (RFA), a method of inducing thermal ablation (cell death), is of...

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