Psychiatry

Effectiveness of robot therapy in the management of behavioural and psychological symptoms for individuals with dementia: A systematic review and meta-analysis.

Robot therapy presents a promising alternative in dementia care. However, its effectiveness has not ...

Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.

Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition...

Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals.

The mental stress faced by many people in modern society is a factor that causes various chronic dis...

Intelligent Recognition of Hospital Image Based on Deep Learning: The Relationship between Adaptive Behavior and Family Function in Children with ADHD.

Chronic diseases are gradually becoming the main threat to human health. By designing an efficient h...

Pivotal Response Treatment with and without robot-assistance for children with autism: a randomized controlled trial.

Pivotal response treatment (PRT) is a promising intervention focused on improving social communicati...

Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning.

Electroencephalogram (EEG)-based automated depression diagnosis systems have been suggested for earl...

Evaluating the Machine Learning Literature: A Primer and User's Guide for Psychiatrists.

Robust diagnostic classification via Q-learning.

Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provid...

Predicting anxiety in cancer survivors presenting to primary care - A machine learning approach accounting for physical comorbidity.

BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form ...

Twelve patients with mental illness who complained of postprandial symptoms in addition to fatigue showed central adrenal insufficiency.

BACKGROUND: Adrenal insufficiency (AI) may cause psychiatric symptoms. We evaluated the correlation ...

Robot-mediated interventions for teaching children with ASD: A new intraverbal skill.

Socially assistive robots (SAR) have the potential to impact therapies for Autism Spectrum Disorder ...

Spine dynamics in the brain, mental disorders and artificial neural networks.

In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their...

Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some...

Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research.

Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed a...

Evaluating atypical language in autism using automated language measures.

Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Be...

For whom should psychotherapy focus on problem coping? A machine learning algorithm for treatment personalization.

OBJECTIVE: We aimed to develop and test an algorithm for individual patient predictions of problem c...

Improvements to PTSD quality metrics with natural language processing.

RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availabili...

Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm.

Clinical visit data are clustered within people, which complicates prediction modeling. Cluster size...

Cross-evaluation of social mining for classification of depressed online personas.

With the continuous increase in the use of social networks, social mining is steadily becoming a pow...

Med7: A transferable clinical natural language processing model for electronic health records.

Electronic health record systems are ubiquitous and the majority of patients' data are now being col...

Identification of voxel-based texture abnormalities as new biomarkers for schizophrenia and major depressive patients using layer-wise relevance propagation on deep learning decisions.

Non-segmented MRI brain images are used for the identification of new Magnetic Resonance Imaging (MR...