Psychiatry

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

5,384 articles
Stay Ahead - Weekly Psychiatry research updates
Subscribe
Browse Categories
Showing 1870-1890 of 5,384 articles
A case of fatal multidrug intoxication involving flualprazolam: distribution in body fluids and solid tissues.

PURPOSE: Designer benzodiazepines (DBZDs) increasingly emerged on the novel psychoactive substance (...

Deep graph neural network-based prediction of acute suicidal ideation in young adults.

Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide pre...

Design and Analysis of a Novel Integral Recurrent Neural Network for Solving Time-Varying Sylvester Equation.

To solve a general time-varying Sylvester equation, a novel integral recurrent neural network (IRNN)...

Sch-net: a deep learning architecture for automatic detection of schizophrenia.

BACKGROUND: Schizophrenia is a chronic and severe mental disease, which largely influences the daily...

Machine learning as the new approach in understanding biomarkers of suicidal behavior.

In psychiatry, compared to other medical fields, the identification of biological markers that would...

Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review.

Research on affective communication for socially assistive robots has been conducted to enable physi...

Improving the predictive potential of diffusion MRI in schizophrenia using normative models-Towards subject-level classification.

Diffusion MRI studies consistently report group differences in white matter between individuals diag...

Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.

Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health p...

Explainable deep learning predictions for illness risk of mental disorders in Nanjing, China.

Epidemiological studies have revealed the associations of air pollutants and meteorological factors ...

Detecting suicidal risk using MMPI-2 based on machine learning algorithm.

Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of ...

Explaining distortions in metacognition with an attractor network model of decision uncertainty.

Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions i...

Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning.

This research aimed to evaluate the right ventricular segmentation ability of magnetic resonance ima...

Diagnosis and Treatment Effect of Convolutional Neural Network-Based Magnetic Resonance Image Features on Severe Stroke and Mental State.

The purpose of this paper is to explore the impact of magnetic resonance imaging (MRI) image feature...

Understanding terror states of online users in the context of COVID-19: An application of Terror Management Theory.

The COVID-19 pandemic has provided psych challenges for many in society. One such challenge is the a...

Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare-A Review.

Affective computing is a field of study that integrates human affects and emotions with artificial i...

Predicting subclinical psychotic-like experiences on a continuum using machine learning.

Previous studies applying machine learning methods to psychosis have primarily been concerned with t...

Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey.

BACKGROUND: Healthcare is expected to increasingly integrate technologies enabled by artificial inte...

Face-Based Attention Recognition Model for Children with Autism Spectrum Disorder.

UNLABELLED: Attention recognition plays a vital role in providing learning support for children with...

Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine.

OBJECTIVE: Autism spectrum disorder (ASD) is a neurodevelopmental condition with a heterogeneous phe...

Browse Categories