Psychiatry

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

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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 ...

Enhancing electrocardiographic analysis by combining a high-resolution 12-lead ECG with novel software tools.

INTRODUCTION: Signal-averaged electrocardiography is a non-invasive, computerized technique that amp...

A mental models approach for defining explainable artificial intelligence.

BACKGROUND: Wide-ranging concerns exist regarding the use of black-box modelling methods in sensitiv...

AI ethics in computational psychiatry: From the neuroscience of consciousness to the ethics of consciousness.

Methods used in artificial intelligence (AI) overlap with methods used in computational psychiatry (...

Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios.

HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detec...

A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.

The pathological mechanism of attention deficit hyperactivity disorder (ADHD) is incompletely specif...

Prediction of PCOS and Mental Health Using Fuzzy Inference and SVM.

Polycystic ovarian syndrome (PCOS) is a hormonal disorder found in women of reproductive age. There ...

Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.

Examining mental health is crucial for preventing mental illnesses such as depression. This study pr...

Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

Domain shift, the mismatch between training and testing data characteristics, causes significant deg...

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