Psychiatry

Can Artificial Intelligences Suffer from Mental Illness? A Philosophical Matter to Consider.

The potential for artificial intelligences and robotics in achieving the capacity of consciousness, ...

Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment.

Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and ne...

Dynamic cerebral reorganization in the pathophysiology of schizophrenia: a MRI-derived cortical thickness study.

BACKGROUND: A structural neuroanatomical change indicating a reduction in brain tissue is a notable ...

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.

Secondary use of electronic health records (EHRs) promises to advance clinical research and better i...

Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.

Strategies for discovering common molecular events among disparate diseases hold promise for improvi...

Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.

BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral ...

Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion.

BACKGROUND: Machine learning (ML) provides novel opportunities for human behavior research and clini...

Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016).

Using neuroimaging to help predict the onset of psychosis.

The aim of this review is to assess the potential for neuroimaging measures to facilitate prediction...

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.

The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repe...

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...

Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.

BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidi...

Vitamin D Deficiency in Obsessive-Compulsive Disorder Patients with Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections: A Case Control Study.

INTRODUCTION: Previous studies have indicated that vitamin D deficiency is common in psychiatric pat...

Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study.

OBJECTIVE: Despite the multitude of longitudinal neuroimaging studies that have been published, a ba...

A multi-layer network approach to MEG connectivity analysis.

Recent years have shown the critical importance of inter-regional neural network connectivity in sup...

Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning.

Diagnosis, clinical management and research of psychiatric disorders remain subjective - largely gui...

Minimalistic toy robot to analyze a scenery of speaker-listener condition in autism.

Atypical neural architecture causes impairment in communication capabilities and reduces the ability...

Use of machine learning for behavioral distinction of autism and ADHD.

Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...

Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression.

BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have p...

Robots Learn to Recognize Individuals from Imitative Encounters with People and Avatars.

Prior to language, human infants are prolific imitators. Developmental science grounds infant imitat...

Reflections of Low-Income, Second-Generation Latinas About Experiences in Depression Therapy.

Depression is higher among second-generation Latinas compared with immigrants, but mental health tre...