Psychiatry

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

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Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital...

Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS Transistors.

Neurotransmitter release in chemical synapses is fundamental to diverse brain functions such as moto...

Screening of autism based on task-free fMRI using graph theoretical approach.

Studies on autism spectrum disorder (ASD) have indicated several dysfunctions in the structure, and ...

Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.

OBJECTIVE: Suicide is a major concern for those afflicted by schizophrenia. Identifying patients at ...

Antidepressant-like effects of Gan-Mai-Dazao-Tang via monoamine regulatory pathways on forced swimming test in rats.

Depression is a highly prevalent and recurrent mental disorder that impacts all aspects of human lif...

A symptom network structure of the psychosis spectrum.

Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific ment...

How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information.

It is believed that anomalous mental states such as stress and anxiety not only cause suffering for ...

Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural MRI data: A multimodal machine learning study.

BACKGROUND: Generalized anxiety disorder (GAD) is difficult to recognize and hard to separate from m...

A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma...

Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning.

OBJECTIVES: One of the major challenges facing psychiatry is how to incorporate biological measures ...

Deep dreaming, aberrant salience and psychosis: Connecting the dots by artificial neural networks.

Why some individuals, when presented with unstructured sensory inputs, develop altered perceptions n...

Gaussian Process Regression for Predictive But Interpretable Machine Learning Models: An Example of Predicting Mental Workload across Tasks.

There is increasing interest in real-time brain-computer interfaces (BCIs) for the passive monitorin...

Effectiveness of Electroconvulsive Therapy Augmentation on Clozapine-Resistant Schizophrenia.

OBJECTIVE: This retrospective case series study of the effectiveness of electroconvulsive therapy (E...

Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment.

The salience network (SN) plays a central role in cognitive control by integrating sensory input to ...

Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based survei...

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia.

Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiolog...

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