Psychiatry

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

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A Preliminary Study on Realizing Human-Robot Mental Comforting Dialogue via Sharing Experience Emotionally.

Mental health issues are receiving more and more attention in society. In this paper, we introduce a...

A Systematic Review of Research on Robot-Assisted Therapy for Children with Autism.

Recent studies have shown that children with autism may be interested in playing with an interactive...

Deep learning-based school attendance prediction for autistic students.

Autism Spectrum Disorder is a neurodevelopmental disorder characterized by deficits in social commun...

DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer's Disease.

Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million peop...

Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representation.

High resolution in situ hybridization (ISH) images of the brain capture spatial gene expression at c...

Annual Research Review: Translational machine learning for child and adolescent psychiatry.

Children and adolescents could benefit from the use of predictive tools that facilitate personalized...

Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.

Recent years have witnessed the proliferation of social robots in various domains including special ...

Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.

OBJECTIVE: Social determinants of health (SDOH) are non-medical factors that can profoundly impact p...

Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission.

Open circuit failure mode in insulated-gate bipolar transistors (IGBT) is one of the most common fau...

Artificially intelligent chatbots in digital mental health interventions: a review.

INTRODUCTION: Increasing demand for mental health services and the expanding capabilities of artific...

Robotically-induced hallucination triggers subtle changes in brain network transitions.

The perception that someone is nearby, although nobody can be seen or heard, is called presence hall...

Evaluation of the correlation between gaze avoidance and schizophrenia psychopathology with deep learning-based emotional recognition.

OBJECTIVE: To investigate the correlation between gaze avoidance and psychopathology in patients wit...

Income inequalities, social support and depressive symptoms among older adults in Europe: a multilevel cross-sectional study.

UNLABELLED: This study analysed the association between income inequality and depression from a mult...

Associations between depressive symptoms and disease progression in older patients with chronic kidney disease: results of the EQUAL study.

BACKGROUND: Depressive symptoms are associated with adverse clinical outcomes in patients with end-s...

Detection of child depression using machine learning methods.

BACKGROUND: Mental health problems, such as depression in children have far-reaching negative effect...

Determination of quetiapine and its metabolites in plasma by field-enhanced sample stacking.

Quetiapine is an atypical antipsychotic drug that can be used to treat mental disorders, including s...

Natural Language Processing markers in first episode psychosis and people at clinical high-risk.

Recent work has suggested that disorganised speech might be a powerful predictor of later psychotic ...

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