Psychiatry

Can Artificial Intelligence be Used to Design More Ecologically Valid Mental Health Scales for Older People?

Children's attribution of mental states to humans and social robots assessed with the Theory of Mind Scale.

The present work examined children's attribution of psychological properties to inanimate agents in ...

Novel neural activity profiles underlying inhibitory control deficits of clinical relevance in ADHD - insights from EEG tensor decomposition.

BACKGROUND: Attention-Deficit-Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental dis...

Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.

BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly populatio...

Construction of disability risk prediction model for the elderly based on machine learning.

The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...

Mortality and its predictors among people with dementia receiving psychiatric in-patient care.

BACKGROUND: Although dementia is a terminal condition, palliation can be a challenge for clinical se...

Navigating challenging patient factors in systemic therapy for head and neck cancer.

Patients with head and neck cancer often present with complex challenges due to a substantial comorb...

Generative Artificial Intelligence Models for Developing Neuroimaging Markers of Psychiatric Disorders.

Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.

Fragile X Syndrome (FXS) is a common cause of autism spectrum symptoms. The genetic mutation results...

The Association Between Psychotropic Medications and Cognitive Functioning in a Real-World Cohort of 869 Individuals with Schizophrenia.

BACKGROUND: Cognitive deficits are a central feature of schizophrenia for which there are not any es...

Machine learning-based predictive modelling of mental health in Rwandan Youth.

Globally, mental disorders are a significant burden, particularly in low- and middle-income countrie...

A Systematic Review on Physiology-based Anxiety Detection using Machine Learning.

Anxiety disorder poses a significant challenge to mental health. Diagnosing anxiety is complicated d...

Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach.

AIMS: Studies conducted during the COVID-19 pandemic found high occurrence of suicidal thoughts and ...

Hearing vocals to recognize schizophrenia: speech discriminant analysis with fusion of emotions and features based on deep learning.

BACKGROUND AND OBJECTIVE: Accurate detection of schizophrenia poses a grand challenge as a complex a...

Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol.

BACKGROUND: Traditional statistical methods have dominated research on peripartum depression (PPD), ...

ASiDentify (ASiD): a machine learning model to predict new autism spectrum disorder risk genes.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects nearly 3% of children a...

EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.

BACKGROUND: Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which di...

Evaluating the impact of AI-generated educational content on patient understanding and anxiety in endodontics and restorative dentistry: a comparative study.

BACKGROUND: Effective patient education is critical in enhancing treatment outcomes and reducing anx...

Humanoid robots for assisting people with physical disabilities in activities of daily living: A scoping review.

The aim of this scoping review was to gather, summarize, and map the knowledge of peoples' experienc...

What Is in There for Artificial Intelligence to Support Mental Health Care for Persons with Serious Mental Illness? Opportunities and Challenges.

Artificial intelligence (AI) holds potential to support persons with serious mental illness, but evi...

Mental state classification based on electroencephalogram (EEG) using multiclass support vector machine.

INTRODUCTION: Mental state refers to a person's state of mind from various perspectives, including c...